var eventsJSON = [{"id":173140,"organizerId":"30475083796","organizerName":"Minneapolis Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/minneapolis-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475083796?aff\u003debapi","eventId":"30475083796","eventName":"Minneapolis Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/minneapolis-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475083796?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-360,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483952400000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485342000000,"city":"Minneapolis","state":"MN","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:34 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"9:00 AM UTC","endTimeString":"11:00 AM UTC","year":2017},{"id":173153,"organizerId":"30443533428","organizerName":"Amherst Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/amherst-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443533428?aff\u003debapi","eventId":"30443533428","eventName":"Amherst Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/amherst-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443533428?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Amherst","state":"MA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:35 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173154,"organizerId":"30443771139","organizerName":"Boston Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/boston-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443771139?aff\u003debapi","eventId":"30443771139","eventName":"Boston Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/boston-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443771139?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Boston","state":"MA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:36 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173155,"organizerId":"30475247285","organizerName":"Charlotte Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/charlotte-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475247285?aff\u003debapi","eventId":"30475247285","eventName":"Charlotte Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/charlotte-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475247285?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Charlotte","state":"NC","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:36 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173157,"organizerId":"30475124919","organizerName":"Detroit Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/detroit-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475124919?aff\u003debapi","eventId":"30475124919","eventName":"Detroit Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/detroit-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475124919?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Columbus","state":"OH","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:36 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173158,"organizerId":"30475163033","organizerName":"Flint Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/flint-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475163033?aff\u003debapi","eventId":"30475163033","eventName":"Flint Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/flint-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475163033?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Flint","state":"MI","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:36 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173161,"organizerId":"30443740046","organizerName":"Jacksonville Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/jacksonville-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443740046?aff\u003debapi","eventId":"30443740046","eventName":"Jacksonville Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/jacksonville-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443740046?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Jacksonville","state":"Florida","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:39 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173163,"organizerId":"30443592605","organizerName":"Miami Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/miami-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443592605?aff\u003debapi","eventId":"30443592605","eventName":"Miami Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/miami-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443592605?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Miami","state":"FL","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:39 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173166,"organizerId":"30443616677","organizerName":"Philadelphia Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/philadelphia-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443616677?aff\u003debapi","eventId":"30443616677","eventName":"Philadelphia Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/philadelphia-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443616677?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Philadelphia","state":"PA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:39 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173168,"organizerId":"30475211177","organizerName":"Pittsburgh Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/pittsburgh-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475211177?aff\u003debapi","eventId":"30475211177","eventName":"Pittsburgh Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/pittsburgh-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475211177?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Pittsburgh","state":"PA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:39 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173172,"organizerId":"30443626707","organizerName":"Washington, D.C. Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/washington-dc-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443626707?aff\u003debapi","eventId":"30443626707","eventName":"Washington, D.C. Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/washington-dc-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30443626707?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-300,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485345600000,"city":"Washington","state":"DC","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:40 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":173194,"organizerId":"30475942364","organizerName":"London Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/london-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475942364?aff\u003debapi","eventId":"30475942364","eventName":"London Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/london-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475942364?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":0,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483974000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485363600000,"city":"London","state":"England","country":"United Kingdom","localizedCountry":"United Kingdom","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:42 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"3:00 PM UTC","endTimeString":"5:00 PM UTC","year":2017},{"id":173196,"organizerId":"30475712677","organizerName":"Barcelona Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/barcelona-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475712677?aff\u003debapi","eventId":"30475712677","eventName":"Barcelona Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/barcelona-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475712677?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":60,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483977600000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485367200000,"city":"Barcelona","state":"Barcelona","country":"Spain","localizedCountry":"Spain","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:42 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"4:00 PM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173201,"organizerId":"30475922304","organizerName":"Oslo Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/oslo-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475922304?aff\u003debapi","eventId":"30475922304","eventName":"Oslo Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/oslo-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475922304?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":60,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483977600000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485367200000,"city":"Oslo","state":"Oslo","country":"Norway","localizedCountry":"Norway","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:42 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"4:00 PM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173205,"organizerId":"30475828022","organizerName":"Helsinki Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/helsinki-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475828022?aff\u003debapi","eventId":"30475828022","eventName":"Helsinki Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/helsinki-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475828022?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":120,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483981200000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485370800000,"city":"Helsinki","state":"Helsinki","country":"Finland","localizedCountry":"Finland","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:43 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"5:00 PM UTC","endTimeString":"7:00 PM UTC","year":2017},{"id":173245,"organizerId":"30475977469","organizerName":"Dubai Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/dubai-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475977469?aff\u003debapi","eventId":"30475977469","eventName":"Dubai Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/dubai-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475977469?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":240,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483974000000,"startTimeLocal":1483988400000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485363600000,"endTimeLocal":1485378000000,"city":"Dubai","state":"Dubai","country":"United Arab Emirates","localizedCountry":"United Arab Emirates","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:49 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"7:00 PM UTC","endTimeString":"9:00 PM UTC","year":2017},{"id":173208,"organizerId":"27329311707","organizerName":"Percorso Stella - Codemotion Kids Modena (gennaio - maggio)","organizerURL":"https://www.eventbrite.it/e/biglietti-percorso-stella-codemotion-kids-modena-gennaio-maggio-27329311707?aff\u003debapi","eventId":"27329311707","eventName":"Percorso Stella - Codemotion Kids Modena (gennaio - maggio)","eventDescription":"Percorso Stella (11-13 anni) Di media complessità, il corso si rivolge a ragazzi e ragazze di età compresa tra 11 e 13 anni. I giovani esploratori del digitale consolideranno i concetti sviluppati sul Pianeta e si avvicineranno a tecnologie più complesse, sviluppando e applicando concetti di programmazione: variabili, condizioni, operatori logici. SCONTO EARLY BIRD FINO AL 22 DICEMBRE: €500 anziché €560! Periodo: gennaio 2017 - maggio 2017 (16 lezioni)Classi: lunedìInizio corso: 9 gennaio 2017 Orario: 17:00-18:45Fascia d’età: 11-13 anniDove: Via Pietro Vivarelli, 2 (presso DemoCenter) Numero massimo partecipanti a classe: 14 Per maggiori informazioni: http://codemotionkids.com All\u0027iscrizione seguirà, entro 30 giorni, l\u0027emissione di una ricevuta fiscale. Nel caso in cui si necessiti di fattura, inoltrare la richiesta a: amministrazione@codemotion.it","eventURL":"https://www.eventbrite.it/e/biglietti-percorso-stella-codemotion-kids-modena-gennaio-maggio-27329311707?aff\u003debapi","eventType":"Conference","attendeeCount":28,"utcOffset":60,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483977600000,"startTimeLocal":1483981200000,"endDateGMT":1494806400000,"endDateLocal":1494806400000,"endTimeGMT":1494866700000,"endTimeLocal":1494870300000,"city":"Modena","state":"Emilia-Romagna","country":"Italy","localizedCountry":"Italy","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:02:43 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 - May 15 ","startDateString":"Jan 9","endDateString":"May 15","startTimeString":"5:00 PM UTC","endTimeString":"5:45 PM UTC","year":2017},{"id":173209,"organizerId":"26440044886","organizerName":"Percorso Pianeta - Codemotion Kids Milano (gennaio - maggio)","organizerURL":"https://www.eventbrite.it/e/biglietti-percorso-pianeta-codemotion-kids-milano-gennaio-maggio-26440044886?aff\u003debapi","eventId":"26440044886","eventName":"Percorso Pianeta - Codemotion Kids Milano (gennaio - maggio)","eventDescription":"Percorso Pianeta (8 - 10 anni) Pensato per i più piccoli, il corso si rivolge ai bambini di età compresa tra 8 e 10 anni. I piccoli apprendisti inizieranno a scoprire il mondo familiarizzando con le tecnologie, con i concetti base di logica e spazio e con i rudimenti di programmazione. Le attività sono essenzialmente ludiche e improntate sulla creatività. SCONTO EARLY BIRD FINO AL 22 DICEMBRE: €500 anziché €560! Periodo: gennaio 2017 - maggio 2017 (16 lezioni)Classi: lunedì Inizio corso: 09 gennaio 2017 Orario: 17:15-19:00Fascia d’età: 8-10 anniDove: c/o The FabLab, Via Santa Marta 18 (a pochi passi da Via Torino). Numero massimo partecipanti a classe: 14 Per maggiori informazioni: http://codemotionkids.com All\u0027iscrizione seguirà, entro 30 giorni, l\u0027emissione di una ricevuta fiscale. Nel caso in cui si necessiti di fattura, inoltrare la richiesta a: amministrazione@codemotion.it","eventURL":"https://www.eventbrite.it/e/biglietti-percorso-pianeta-codemotion-kids-milano-gennaio-maggio-26440044886?aff\u003debapi","eventType":"Conference","attendeeCount":52,"utcOffset":60,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483978500000,"startTimeLocal":1483982100000,"endDateGMT":1494806400000,"endDateLocal":1494806400000,"endTimeGMT":1494867600000,"endTimeLocal":1494871200000,"city":"Milano","state":"Lombardia","country":"Italy","localizedCountry":"Italy","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:02:43 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 - May 15 ","startDateString":"Jan 9","endDateString":"May 15","startTimeString":"5:15 PM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173111,"organizerId":"29537524531","organizerName":"Berkeley Method of Entrepreneurship Bootcamp, January 9 - 13, 2017","organizerURL":"https://www.eventbrite.com/e/berkeley-method-of-entrepreneurship-bootcamp-january-9-13-2017-tickets-29537524531?aff\u003debapi","eventId":"29537524531","eventName":"Berkeley Method of Entrepreneurship Bootcamp, January 9 - 13, 2017","eventDescription":"Are you interested in learning about new venture creation, about how to launch your idea, or how to take your technology to market? The Pantas and Ting Sutardja Center for Entrepreneurship \u0026 Technology hosts the bi-annual Berkeley Method of Entrepreneurship Bootcamp (BMoE), a week venture workshop. The next boot-camp will be an intense 4-1/2 days to be held January 9 - 13, 2017 (the week before regular classes start for the Spring 2107). The bootcamp facilitates immersive learning for new venture creation. This workshop offers a one-of-a-kind experience in one of the premier institutions in Silicon Valley. During the program, participants will attend sessions that weave together lectures and interactive game-based exercises, receive one-on-one mentoring from Sutardja Center faculty and industry experts; and learn in a collaborative environment. Participants will also join one of two tracks, based on whether you are an entrepreneur or or have an academic role, to work on a project of your own. Track 1 will focus on developing a new venture/project as an entrepreneurs, Track 2 will focus on how to nurture entrepreneours as a professors and mentors.  How to Register Sign up for the next Berkeley Method of Entrepreneurship boot-camp, January 9 -13, 2017. UC Berkeley students - sign up through new CalCentral registration for Spring 2017. NON-BERKELEY PARTICIPANTS:  Sign up for here on EventBrite. SCET GLOBAL PARTNERS:  Email Global Partner Coordinator, Danielle Vivo d.vivo@berkeley.edu  for your special discount registration code to sign up on Eventbrite. OTHER BERKELEY PARTNERS:  Email BMOE Boot-camp Chair, Gigi Wang gigiwang@berkeley.edu  for your special discount registration code to sign up on Eventbrite. UC BERKELEY STAFF: Email BMOE Boot-camp Chair, Gigi Wang gigiwang@berkeley.edu  and sign up on Eventbrite. * For all other inquiries, contact Gigi Wang, Berkeley Method Bootcamp Program Chair \u0026 Industry Fellow:  gigiwang@berkeley.edu. Over the course of the four and a half days, participants will: Work on idea generation and how to turn ideas into new ventures and taking it to market while integrating concepts including customer-focused design thinking and innovation in business models, and receiving input and advice from real-life entrepreneurs, investors, and marketing specialists. Use case studies to facilitate and hone ideas, attend special modules on ideation, sales, pitch and funding (sample Modules/Videos) Collaborate with our Experts Establish or optimize to form startup teams, learn mechanics of a start-up and setting major milestones Internalize some of the attributes that contribute to the entrepreneurial mindset Pitch your idea to an experienced panel of experts and potential investors Read more about Berkeley Method of Entrepreneurship approach our blog, by the Sutadja Center’s Founder and Chief Scientist, Professor Ikhlaq Sidhu. More info about the bootcamp at:  http://scet.berkeley.edu/bmoe-bootcamp/ More questions:  gigiwang@berkeley.edu","eventURL":"https://www.eventbrite.com/e/berkeley-method-of-entrepreneurship-bootcamp-january-9-13-2017-tickets-29537524531?aff\u003debapi","eventType":"Conference","attendeeCount":100,"utcOffset":-480,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483979400000,"startTimeLocal":1483950600000,"endDateGMT":1484265600000,"endDateLocal":1484265600000,"endTimeGMT":1484335800000,"endTimeLocal":1484307000000,"city":"Berkeley ","state":"CA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Startup","createdOn":"Jan 2, 2017 9:02:32 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  13 ","startDateString":"Jan 9","endDateString":"Jan 13","startTimeString":"8:30 AM UTC","endTimeString":"11:30 AM UTC","year":2017},{"id":173125,"organizerId":"28788608503","organizerName":"CPO200: Google Cloud Platform for Systems Operations Professionals, Las Vegas","organizerURL":"https://www.eventbrite.com/e/cpo200-google-cloud-platform-for-systems-operations-professionals-las-vegas-tickets-28788608503?aff\u003debapi","eventId":"28788608503","eventName":"CPO200: Google Cloud Platform for Systems Operations Professionals, Las Vegas","eventDescription":"Course Description This 4-day instructor-led class introduces participants to the implementation of application environments and public cloud infrastructure using Google Cloud Platform. Through a combination of instructor-led presentations and hands-on labs, students learn how to deploy cloud infrastructure components such as networks, systems, and applications. This course is designed to give participants a robust hands-on experience and is primarily lab-focused. Learning Objectives At the end of this four-day course, participants will be able to: Understand the core tenants to be considered when designing and deploying to a public cloud environment Use the Google Developers Console to create and manage multiple projects Use service accounts and permissions to share view-level access between projects Create Google Compute Engine instances Create a non-default network and review your network configuration Compare default and non-default networks Create firewall-rules with and without tags Create and use a customized Compute Engine image Set authorization scopes for a Compute Engine instance Reserve an external IP address for an instance Snapshot a Compute Engine instance Snapshot a data disk Create an image using a boot persistent disk Upload an image to Google Container Registry Create a Compute Engine instance group with instances Create a Cloud SQL instance using the Cloud SDK Deploy and test a web application Add instance and project metadata Query instance and project metadata using the Cloud SDK Create an instance using a startup script in metadata and Google Cloud Storage Create an instance with a shutdown script and install the Cloud Logging agent Use the API Explorer to query an API request Run sample code that uses the Google API Client Library Test and build a container that uses the Cloud SQL APIs Create an instance template and managed instance group Configure a managed instance group for autoscaling Create multiple autoscaled managed instance groups Configure fault-tolerant HTTP load balancing Test health checks for use with HTTP load balancing Manage application deployment using Jinja and Python templates with Google Cloud Deployment Manager Delete Google Cloud Platform projects and resources Who Should Attend This class is intended for Systems Operations professionals and Systems Administrators using Google Cloud Platform to create or migrate application environments and infrastructure. Prerequisites Before attending this course, participants should have: Attended CP100A – Google Cloud Platform Fundamentals (or equivalent experience) Basic proficiency with command-line tools and Linux operating system environments Prior systems operations experience, either on-premises or in a public cloud environment Modules Module 1: Google Cloud Platform Projects Learning Objectives Identify project resources and quotas Explain the purpose of Google Cloud Resource Manager and Identity and Access Management Lab: Google Cloud Platform Projects Learning Objectives Use the Google Developers Console to create and manage multiple projects Use service accounts and permissions to share view-level access between projects Module 2: Instances Learning Objectives Explain how to create and move instances Identify how to connect to and manage instances Lab: Google Compute Engine Instances and Machine Types Learning Objectives Create an instance using the Google Developers Console Configure the Cloud SDK on the Compute Engine instance Initialize Cloud Source Repositories using Git Module 3: Networks Learning Objectives Explain how to create and manage networks in projects Identify how to create and manage firewall rules, routes, and IP addresses Lab: Google Compute Engine Networks Learning Objectives Create a non-default network Compare default and non-default networks Create firewall-rules with and without tags Review network configuration in Google Cloud Monitoring Module 4: Disks and Images Learning Objectives Explain how to create and manage persistent disks Identify how to create and manage disk images Lab: Google Compute Engine Disks and Images Learning Objectives Create an instance and install the Java 7 JRE from OpenJDK Create a customized Compute Engine image Launch and test a Compute Engine instance based on your image Module 5: Authorization Learning Objectives Explain the purposes of and use cases for Google Compute Engine service accounts Identify the types of service account scopes Lab: Google Compute Engine Authorization Learning Objectives Set authorization scopes for a Compute Engine instance Reserve the external IP address for the new instance Install and configure Jenkins on a Compute Engine instance Module 6: Snapshots Learning Objectives Identify the purpose of and use cases for disk snapshots Explain the process of creating a snapshot Lab: Google Compute Engine Snapshots Learning Objectives Prepare and snapshot a Compute Engine instance Restore and test the snapshot to a different zone Snapshot a data disk without shutting down an instance Module 7: Google Cloud Storage Learning Objectives Explain the purpose of and use cases for Google Cloud Storage Identify methods for accessing Google Cloud Storage buckets and objects Explain the security options available for Google Cloud Storage buckets and objects Lab: Google Cloud Storage for Backups Learning Objectives Create and configure Nearline and DRA buckets Modify the lifecycle management policy for a bucket Copy data to a bucket using the Cloud SDK Review, modify, and test bucket ACLs Configure Jenkins to perform a backup to Cloud Storage Test and verify that the backups are working Lab: Google Container Registry Learning Objectives Create a customized Jenkins build node instance Create an image using the instance’s boot persistent disk Create a test build node instance based on the new image Test uploading images to Google Container Registry Module 8: Instance Groups Learning Objectives Identify the purpose of and use cases for instance groups Explain the process of creating and using instance groups Lab: Google Compute Engine Instance Groups Learning Objectives Create a Compute Engine instance group with instances Define Jenkins build tasks and run them Run the build tasks to create a guestbook image Module 9: Google Cloud SQL Learning Objectives Understand how to create and administer Cloud SQL instances Explain how to access Cloud SQL instances from Compute Engine instances Lab: Google Cloud SQL Learning Objectives Create a Cloud SQL instance using the Cloud SDK Create a Compute Engine instance from a custom image Deploy and test the Guestbook web application Module 10: Metadata Learning Objectives Explain the purpose of metadata and identify the use cases for project and instance metadata Identify how to set and query metadata Lab: Google Compute Engine Metadata Learning Objectives Add instance and project metadata Query instance and project metadata using the Cloud SDK Query metadata from inside a Compute Engine instance Module 11: Startup and Shutdown Scripts Learning Objectives Identify the purpose of and use cases for startup and shutdown scripts Lab: Google Compute Engine Startup Scripts Learning Objectives Create an instance with a startup script in metadata Create an instance with a startup script from Cloud Storage Create an instance with a shutdown script and install the Cloud Logging agent Lab: Google API Client Library Learning Objectives Use the API Explorer to query an API request Run sample code that uses the Google API Client Library Test and build a container that uses the Cloud SQL APIs Create a new Compute Engine image Module 12: Autoscaling Learning Objectives Explain the use cases for autoscaling and how autoscaling functions Identify the purpose of autoscaling policies Lab: Google Compute Engine Autoscaler Learning Objectives Create an instance template and managed instance group Configure the managed instance group for autoscaling Generate an artificial load to trigger scaling of your cluster Module 13: Load Balancing Learning Objectives Explain the differences between network load balancing and HTTP load balancing Identify the purpose of and use cases for cross-region and content-based load balancing Lab: HTTP/HTTPS Load Balancing Learning Objectives Create multiple autoscaled managed instance groups Configure fault-tolerant HTTP load balancing Test health checks for use with HTTP load balancing Lab: Google Cloud Deployment Manager Learning Objectives Create a Guestbook deployment using a plain YAML format Manage a Guestbook deployment using a Jinja template Create a Guestbook deployment using Python templates Lab: Deleting Cloud Platform Projects and Resources Learning Objectives Delete Google Cloud Platform resources Test dependencies between resources Delete Google Cloud Platform projects","eventURL":"https://www.eventbrite.com/e/cpo200-google-cloud-platform-for-systems-operations-professionals-las-vegas-tickets-28788608503?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-480,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483981200000,"startTimeLocal":1483952400000,"endDateGMT":1484265600000,"endDateLocal":1484179200000,"endTimeGMT":1484272800000,"endTimeLocal":1484244000000,"city":"Las Vegas","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Cloud","createdOn":"Jan 2, 2017 9:02:33 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  12 ","startDateString":"Jan 9","endDateString":"Jan 12","startTimeString":"9:00 AM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173134,"organizerId":"30475501044","organizerName":"Houston Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/houston-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475501044?aff\u003debapi","eventId":"30475501044","eventName":"Houston Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/houston-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475501044?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-480,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483981200000,"startTimeLocal":1483952400000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485370800000,"endTimeLocal":1485342000000,"city":"Houston","state":"TX","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:34 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"9:00 AM UTC","endTimeString":"11:00 AM UTC","year":2017},{"id":173171,"organizerId":"30475413783","organizerName":"Toronto Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/toronto-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475413783?aff\u003debapi","eventId":"30475413783","eventName":"Toronto Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/toronto-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475413783?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-480,"startDateGMT":1483920000000,"startDateLocal":1483920000000,"startTimeGMT":1483984800000,"startTimeLocal":1483956000000,"endDateGMT":1485302400000,"endDateLocal":1485302400000,"endTimeGMT":1485374400000,"endTimeLocal":1485345600000,"city":"San Diego","state":"CA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:40 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"10:00 AM UTC","endTimeString":"0:00 PM UTC","year":2017},{"id":24032,"organizerId":"26896600456","organizerName":"5th Int. Conf. on Information and Education Technology (ICIET 2017)","organizerURL":"https://www.eventbrite.com/e/5th-int-conf-on-information-and-education-technology-iciet-2017-registration-26896600456?aff\u003debapi","eventId":"26896600456","eventName":"5th Int. Conf. on Information and Education Technology (ICIET 2017)","eventDescription":"2017 5th International Conference on Information and Education Technology (ICIET 2017)Tokyo, JapanJanuary 10-12, 2017http://www.iciet.org/ Publication:All accepted paper will be published in the International Conference Proceedings Series by ACM, (ISBN: 978-1-4503-4791-4)which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). Submission Methods:Log in Electronic Submission System(.pdf) http://www.easychair.org/conferences/?conf\u003diciet2017 to sumbit your full paper or send it directly to conference email: iciet@iact.net Contacts:Ms. Vivian NiE-mail: iciet@iact.net","eventURL":"https://www.eventbrite.com/e/5th-int-conf-on-information-and-education-technology-iciet-2017-registration-26896600456?aff\u003debapi","eventType":"Conference","attendeeCount":180,"utcOffset":540,"startDateGMT":1483920000000,"startDateLocal":1484006400000,"startTimeGMT":1484002800000,"startTimeLocal":1484035200000,"endDateGMT":1484179200000,"endDateLocal":1484179200000,"endTimeGMT":1484211600000,"endTimeLocal":1484244000000,"city":"Tokyo","state":"Tokyo","country":"Japan","localizedCountry":"Japan","source":"eventbrite","topics":"General Tech","createdOn":"Sep 30, 2016 1:56:19 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 -  12 ","startDateString":"Jan 10","endDateString":"Jan 12","startTimeString":"8:00 AM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":136197,"organizerId":"28784958586","organizerName":"Linux OFIMATICA TOTAL","organizerURL":"https://www.eventbrite.es/e/entradas-linux-ofimatica-total-28784958586?aff\u003debapi","eventId":"28784958586","eventName":"Linux OFIMATICA TOTAL","eventDescription":"Linux y paquetes de Aplicaciones para oficina, dibujo de planos, edicion de fotografia, disenio de artes, Libreoffice, Gimp, Inkscape, Draft Sight, Kdenlive, Kazam, Audacity inicial CURSO: LINUX Y APLICACIONESPorque comprar softwhare? si hay originales gratuitos.......! INICIO lunes 9 de enero● Modalidad: Presencial y online● Material: Licencias Originales de softwhare● Horario: varios horarios● Paquetes informativos: Libreoffice, editor de fotos, video, sonido, dibujo arquitectónico cad, programa para hacer tutorialesWhatsApp: 0996000228 / 0998781674Contacto: 593 2921253 /2248496 / 0983336444 #Programacion #Universidades #Estudiantes #Ingenieria #Cursos#Ofimatica #Secretarias #Oficina #Dibujo #autocad","eventURL":"https://www.eventbrite.es/e/entradas-linux-ofimatica-total-28784958586?aff\u003debapi","eventType":"Conference","attendeeCount":250,"utcOffset":-300,"startDateGMT":1484006400000,"startDateLocal":1483920000000,"startTimeGMT":1484006400000,"startTimeLocal":1483988400000,"endDateGMT":1489276800000,"endDateLocal":1489190400000,"endTimeGMT":1489287600000,"endTimeLocal":1489269600000,"city":"Quito","state":"Pichincha","country":"Ecuador","localizedCountry":"Ecuador","source":"eventbrite","topics":"Open Source","createdOn":"Oct 26, 2016 8:51:29 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 - Mar 11 ","startDateString":"Jan 9","endDateString":"Mar 11","startTimeString":"7:00 PM UTC","endTimeString":"10:00 PM UTC","year":2017},{"id":173197,"organizerId":"30475897229","organizerName":"Berlin Big Data Analytics and Hadoop Training - Begins January 9, 2017","organizerURL":"https://www.eventbrite.com/e/berlin-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475897229?aff\u003debapi","eventId":"30475897229","eventName":"Berlin Big Data Analytics and Hadoop Training - Begins January 9, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri7:00 AM - 9:00 AM Pacific Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 7:00 AM - 9:00 AM US Pacific time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/berlin-big-data-analytics-and-hadoop-training-begins-january-9-2017-tickets-30475897229?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":-480,"startDateGMT":1484006400000,"startDateLocal":1483920000000,"startTimeGMT":1484006400000,"startTimeLocal":1483977600000,"endDateGMT":1485388800000,"endDateLocal":1485302400000,"endTimeGMT":1485396000000,"endTimeLocal":1485367200000,"city":"Seattle","state":"Berlin","country":"Germany","localizedCountry":"Germany","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:42 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"4:00 PM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173216,"organizerId":"30664282695","organizerName":"Become A QA Automation Engineer In 6 Weeks","organizerURL":"https://www.eventbrite.com/e/become-a-qa-automation-engineer-in-6-weeks-tickets-30664282695?aff\u003debapi","eventId":"30664282695","eventName":"Become A QA Automation Engineer In 6 Weeks","eventDescription":" Who is this training  for? For those QA Engineers who finally realize that there are ways to make their work more efficient and open their new potentials For those who want to grow in the career and make themselves much more appealing in the job market For those who are looking for a job, and they need mentoring from QA Staffing company with 15 years of industry experience Intensive course in QA Automation thatwill take your QA Skills to the next level  You will be working with the stack  that are most frequently usedin software companies in SIllicon Valley:Java, Linux, Selenium Git, Jenkins, Maven, TDD For the past 5 years, SQA Solution has helped hundreds of people improve their automation skills and get best-paid Test Automation QA Engineer and White Box Testing jobs. With our six week course you’ll completely transform your skill set and be eligible for new technical positions. We even help you practice for interviews and assist in your application process.Here are highlights of what you will master during the class: Java, JUnit, TestNg, Selenium WebDriver, Linux, SQL, TDD Test Automation \u0026 Continious Integration The industry stack: Maven, Jenkins, Git  In 6 weeks you’ll accomplish hands on-project training and 120 hours of classroom experience. Our class schedule is Monday, Wednesday, Thursday 6 p.m. -10 p.m. and Saturday 9 a.m. – 6 p.m. The course is held at our Daly City headquarters which is conveniently located near Colma BART station. Don’t worry, we have plenty of free parking for those who plan on driving in.Unable to attend in person? That’s all right! You can join remotely via Skype or Google Hangout.We can’t wait to help you take the next step in testing.We can’t wait to help you take the next step in testing. Register now or call 888-789-1482 to speak with a SQA expert.","eventURL":"https://www.eventbrite.com/e/become-a-qa-automation-engineer-in-6-weeks-tickets-30664282695?aff\u003debapi","eventType":"Conference","attendeeCount":200,"utcOffset":-480,"startDateGMT":1484006400000,"startDateLocal":1483920000000,"startTimeGMT":1484013600000,"startTimeLocal":1483984800000,"endDateGMT":1487030400000,"endDateLocal":1486944000000,"endTimeGMT":1487048400000,"endTimeLocal":1487019600000,"city":"Daly City","state":"CA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:02:46 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 - Feb 13 ","startDateString":"Jan 9","endDateString":"Feb 13","startTimeString":"6:00 PM UTC","endTimeString":"9:00 PM UTC","year":2017},{"id":173265,"organizerId":"30443416077","organizerName":"Atlanta Big Data and Hadoop Training : January 9 - 25, 2017","organizerURL":"https://www.eventbrite.com/e/atlanta-big-data-and-hadoop-training-january-9-25-2017-tickets-30443416077?aff\u003debapi","eventId":"30443416077","eventName":"Atlanta Big Data and Hadoop Training : January 9 - 25, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri9:00 PM - 11:00 PM US Eastern Time Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 9:00 PM - 11:00 PM US Eastern Time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/atlanta-big-data-and-hadoop-training-january-9-25-2017-tickets-30443416077?aff\u003debapi","eventType":"Conference","attendeeCount":40,"utcOffset":-300,"startDateGMT":1484006400000,"startDateLocal":1483920000000,"startTimeGMT":1484013600000,"startTimeLocal":1483995600000,"endDateGMT":1485388800000,"endDateLocal":1485302400000,"endTimeGMT":1485403200000,"endTimeLocal":1485385200000,"city":"Atlanta","state":"GA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:53 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"9:00 PM UTC","endTimeString":"11:00 PM UTC","year":2017},{"id":173266,"organizerId":"30472290441","organizerName":"NYC Big Data and Hadoop Training : January 9 - 25, 2017","organizerURL":"https://www.eventbrite.com/e/nyc-big-data-and-hadoop-training-january-9-25-2017-tickets-30472290441?aff\u003debapi","eventId":"30472290441","eventName":"NYC Big Data and Hadoop Training : January 9 - 25, 2017","eventDescription":"Information Session RSVP now for Big Data and Hadoop Training Information Session on Jan 2, 2017 at 9 PM US Eastern Link to RSVP for Information Session: http://bit.ly/2hjVoSI Next class starting January 9, 2017 Video Conference link Big Data Analytics and Hadoop Training - Begins January 9, 2017 Every week - Mon, Wed, Fri9:00 PM - 11:00 PM US Eastern Time Please join my meeting from your computer, tablet or smartphone. https://global.gotomeeting.com/join/685366269 You can also dial in using your phone. United States +1 (646) 749-3112 Access Code: 685-366-269 First GoToMeeting? Try a test session: http://help.citrix.com/getready Training Session Details There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates January 9, 11, 13, 16,18, 20, 23, 25 Timings: 9:00 PM - 11:00 PM US Eastern Time Each session will be recorded and the recordings will be shared after each session with students who have paid for the training. Pre-requisite Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel Software access A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline Session 1: Big Data Basics • An introduction to Big Data? • Why is Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster   Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster   Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status   Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: • Loading the data into HIVE • Submitting Pig jobs using HDInsight • Submitting Pig jobs via PowerShell   Session 6: Big Data Integration and Management • Big Data Integration using Polybase • Big Data Management using Ambari Hands-On Lab: • Fetching HDInsight data into SQL • Using Ambari for managing HDInsight cluster   Session 7: Big Data – BI and Reporting using Power BI • Introduction to Power BI • Usual workflow of Power BI • Power BI Ecosystem • Getting Data into Power BI • Reports vs Dashboards • Additional elements of Power BI Reports Hands-On Lab: • Fetching HDInsight Data into Power BI desktop • Data Modelling using Power BI desktop • Creating reports using Power BI desktop   Session 8: PowerBI.com services – Deep dive • Power BI Dashboards • Natural Language Query • Power BI Workspaces – Personal and Group Workspaces • Sharing using OneDrive for Business Hands-On Lab: • Publishing reports to Powerbi.com • Sharing reports using OneDrive for Business End-to-End Use Case Implementation- Lab Exercise • Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI Class Size: Maximum 22 Price: $495 PLEASE NOTE:1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability. 2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket. 3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class. ADVANTAGE OF PURCHASING TRAINING TICKET:1. Class recordings will be made available. 2. Post class support3. Course material available. 4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.5. Career advancement and Job placement assistance REFUND POLICY:1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don\u0027t work for you. 2. If the class is held as per schedule, you don\u0027t show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.","eventURL":"https://www.eventbrite.com/e/nyc-big-data-and-hadoop-training-january-9-25-2017-tickets-30472290441?aff\u003debapi","eventType":"Conference","attendeeCount":40,"utcOffset":-300,"startDateGMT":1484006400000,"startDateLocal":1483920000000,"startTimeGMT":1484013600000,"startTimeLocal":1483995600000,"endDateGMT":1485388800000,"endDateLocal":1485302400000,"endTimeGMT":1485403200000,"endTimeLocal":1485385200000,"city":"New York City","state":"NY","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Big Data","createdOn":"Jan 2, 2017 9:02:53 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 -  25 ","startDateString":"Jan 9","endDateString":"Jan 25","startTimeString":"9:00 PM UTC","endTimeString":"11:00 PM UTC","year":2017},{"id":157070,"organizerId":"29131549248","organizerName":"Seattle Campus Code 100: Intro to Software Development","organizerURL":"https://www.eventbrite.com/e/seattle-campus-code-100-intro-to-software-development-tickets-29131549248?aff\u003debapi","eventId":"29131549248","eventName":"Seattle Campus Code 100: Intro to Software Development","eventDescription":"Ready to explore the world of web development? This class is for you! Get hands-on, in-person training in the foundations of web development in this four-week night class. You\u0027ll be trained by professional software developers and learn in a classroom of peers who are all starting at the same level. This class combines the curriculum in Code 101 and Code 102 in a seamless course that comes together twice a week and focuses on the basics of HTML, CSS, and JavaScript. Plus, students will be introduced to careers in tech and equipped with the skills to start Code 201: Foundations of Software Development. Learn about Code 101 » Learn about Code 102 » Schedule: Week 1  Monday, Jan. 9  Wednesday, Jan. 11 Week 2  Monday, Jan. 16  Wednesday, Jan. 18 Week 3  Monday, Jan. 23  Wednesday, Jan. 25 Week 4  Monday, Jan. 30  Wednesday, Feb 1 Preparation:Please complete the prep work included on the course pages above, and bring your own laptop computer to this class. Refund Policy: This course is fully refundable up to 24 hours before the start of the event. Cancellations within 24 hours of the start of the event are non-refundable and non-transferable. To request a refund, please click \"Request Refund\" on your ticket in Eventbrite or email us at seattle@codefellows.com.","eventURL":"https://www.eventbrite.com/e/seattle-campus-code-100-intro-to-software-development-tickets-29131549248?aff\u003debapi","eventType":"Conference","attendeeCount":50,"utcOffset":-480,"startDateGMT":1484006400000,"startDateLocal":1483920000000,"startTimeGMT":1484015400000,"startTimeLocal":1483986600000,"endDateGMT":1485993600000,"endDateLocal":1485907200000,"endTimeGMT":1486013400000,"endTimeLocal":1485984600000,"city":"Seattle","state":"WA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Developer,Software","createdOn":"Nov 22, 2016 12:49:46 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 9 - Feb 1 ","startDateString":"Jan 9","endDateString":"Feb 1","startTimeString":"6:30 PM UTC","endTimeString":"9:30 PM UTC","year":2017},{"id":173298,"organizerId":"29894786110","organizerName":"The London Scrum Exchange","organizerURL":"https://www.eventbrite.com/e/the-london-scrum-exchange-tickets-29894786110?aff\u003debapi","eventId":"29894786110","eventName":"The London Scrum Exchange","eventDescription":"A gathering of experienced scrum practitioners, coaches and educators to exchange existing ideas and practices, and collaborate to invent and discover new ones. The goal and the agenda for the day will be created on the day by the participants. Come prepared to share, and open to learn. This event is limited to twenty-five people.  #ScrumExchange History The Scrum Exchange is an occasional event, organized by Tobias Mayer. The first took place in Palo Alto, CA, USA in 2006, the second in London in 2012. This is only the third one. Previous Scrum Exchange participants have included Michael James, Luke Hohmann, Michael Spayd, Kane Mar, David Anderson, Katherine Kirk, Eben Halford and a host of others, on both sides of the Atlantic.","eventURL":"https://www.eventbrite.com/e/the-london-scrum-exchange-tickets-29894786110?aff\u003debapi","eventType":"Conference","attendeeCount":25,"utcOffset":0,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484038800000,"startTimeLocal":1484038800000,"endDateGMT":1484006400000,"endDateLocal":1484006400000,"endTimeGMT":1484067600000,"endTimeLocal":1484067600000,"city":"London","state":"England","country":"United Kingdom","localizedCountry":"United Kingdom","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:02:56 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"9:00 AM UTC","endTimeString":"5:00 PM UTC","year":2017},{"id":173308,"organizerId":"30325457259","organizerName":"Oracle Cloud Guided Learning","organizerURL":"https://www.eventbrite.fr/e/billets-oracle-cloud-guided-learning-30325457259?aff\u003debapi","eventId":"30325457259","eventName":"Oracle Cloud Guided Learning","eventDescription":"  Découvrez Oracle Guided Learning   Vos utilisateurs sont-ils prêts pour le cloud?   Oracle University assure une adoption immédiate des solutions Oracle Cloud pour vos utilisateurs grâce à:     Une prise en main simple et immédiate des solutions SaaS  Un guidage pas à pas dans vos solutions Oracle Cloud   Des contenus garantis par nos experts Oracle University   Une continuité des mises à jour sur les versions d\u0027Oracle Cloud     Des contenus contextualisés (vidéos, documents, contenus LMS...)      - - - -   Rejoignez-nous pour une démonstration en ligne le 10 janvier 2017 à 10h00 CET    - - - -   Voici le lien pour vous connecter à la Vidéoconférence: https://myoracle.webex.com/join/franck.kervella     - - - -   Rejoindre l’audioconférence   Vous avez 2 options pour rejoindre l’audioconférence : La rejoindre grâce à la fonction de rappel téléphonique automatique : Connectez-vous à la vidéoconférence puis demandez à être rappelé sur votre combiné téléphonique. Vous serez automatiquement rappelé et vous participerez à l’audioconférence avec votre téléphone. Code de sécurité pour l’audioconférence: 13579   Pour la rejoindre par appel téléphonique directement, appelez un des numéros suivants : Numéro principal : +33-157602222 Numéro alternatif : +33-176728936 Code pour l’audioconférence : 204 540 1 Code de sécuritépour l’audioconférence : 13579 Afficher les numéros internationaux Besoin d’aide ? Contactez l’assistance - - - -   Vidéo de présentation: Oracle Cloud Learning Solution  ","eventURL":"https://www.eventbrite.fr/e/billets-oracle-cloud-guided-learning-30325457259?aff\u003debapi","eventType":"Webinar","attendeeCount":100,"utcOffset":60,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484038800000,"startTimeLocal":1484042400000,"endDateGMT":1484006400000,"endDateLocal":1484006400000,"endTimeGMT":1484042400000,"endTimeLocal":1484046000000,"source":"eventbrite","topics":"Cloud","createdOn":"Jan 2, 2017 9:02:57 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"10:00 AM UTC","endTimeString":"11:00 AM UTC","year":2017},{"id":90060,"organizerId":"28254799867","organizerName":"CodeMash 2017","organizerURL":"https://www.eventbrite.com/e/codemash-2017-tickets-28254799867?aff\u003debapi","eventId":"28254799867","eventName":"CodeMash 2017","eventDescription":"Full details at www.codemash.org  Use these resources to keep abreast of the latest updates for CodeMash v2.0.1.7 Follow us on Twitter Read our blog Join the Google Group   Refund/Cancellation Policy: For a refund, you must cancel your reservation within 30 days after purchase. If you miss the refund deadline, you can still... Send A Geek In My Place: Losing out on CodeMash would be a really awful thing, but sending a friend in your place makes it a little less awful. Someone else can attend in your stead if something is preventing you from going. You can make that change right here on EventBrite yourself. You can also resale your ticket, but remember that scalpers are uncool. Tickets may not be resold for more than their initial purchase price. We will not honor any ticket sold or purchased under these circumstances. If you are unable to attend CodeMash and need to sell your ticket, our staff will help connect you to the CodeMash community via Twitter, Slack or the Google Group. If you are in need of assistance, please contact the human who reads emails at this addess registration@codemash.org","eventURL":"https://www.eventbrite.com/e/codemash-2017-tickets-28254799867?aff\u003debapi","eventType":"Conference","attendeeCount":3580,"utcOffset":-300,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484053200000,"startTimeLocal":1484035200000,"endDateGMT":1484352000000,"endDateLocal":1484265600000,"endTimeGMT":1484355600000,"endTimeLocal":1484337600000,"city":"Sandusky","state":"OH","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Developer","createdOn":"Oct 7, 2016 9:59:25 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 -  13 ","startDateString":"Jan 10","endDateString":"Jan 13","startTimeString":"8:00 AM UTC","endTimeString":"8:00 PM UTC","year":2017},{"id":157082,"organizerId":"29059626124","organizerName":"SportCon: Sport Analytics Conference","organizerURL":"https://www.eventbrite.com/e/sportcon-sport-analytics-conference-tickets-29059626124?aff\u003debapi","eventId":"29059626124","eventName":"SportCon: Sport Analytics Conference","eventDescription":"Join us January 10th as we explore the many ways in which data-driven decision making continues to play a major role in sports, with a stellar lineup of speakers from academia, professional teams and the tech industry. This event is perfect for sports fans, as well as analytics enthusiasts from any field. Find out more  Speakers Mark GlickmanFounding Head, Harvard University Sports Analytics Lab Andy AndresProfessor, Boston U Derek FalveyChief Baseball Officer, Minnesota Twins Erik AllenFounder and CSO, Pit Rho Mitch HelgersonVP, Sales \u0026 Marketing Intelligence, Minnesota Wild Bjorn KadlecSr. Business Analyst, Minnesota Wild Todd AbramsonChief Operating Officer, Minnesota United FC And many more! View more SportCon Speakers Sponsors We are now actively seeking sponsors. Learn more about sponsor opportunities here or contact dan@minneanalytics.org. NOTE: MinneAnaytics now requires a Driver\u0027s license or government issued photo ID for entrance at all events.","eventURL":"https://www.eventbrite.com/e/sportcon-sport-analytics-conference-tickets-29059626124?aff\u003debapi","eventType":"Conference","attendeeCount":930,"utcOffset":-360,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484056800000,"startTimeLocal":1484035200000,"endDateGMT":1484006400000,"endDateLocal":1484006400000,"endTimeGMT":1484089200000,"endTimeLocal":1484067600000,"city":"Minneapois","state":"MN","source":"eventbrite","topics":"Big Data","createdOn":"Nov 22, 2016 12:49:49 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"8:00 AM UTC","endTimeString":"5:00 PM UTC","year":2017},{"id":173368,"organizerId":"27329141197","organizerName":"Percorso Pianeta - Codemotion Kids Trento (gennaio - maggio)","organizerURL":"https://www.eventbrite.it/e/biglietti-percorso-pianeta-codemotion-kids-trento-gennaio-maggio-27329141197?aff\u003debapi","eventId":"27329141197","eventName":"Percorso Pianeta - Codemotion Kids Trento (gennaio - maggio)","eventDescription":"Percorso Pianeta (8 - 10 anni) Pensato per i più piccoli, il corso si rivolge ai bambini di età compresa tra 8 e 10 anni. I piccoli apprendisti inizieranno a scoprire il mondo familiarizzando con le tecnologie, con i concetti base di logica e spazio e con i rudimenti di programmazione. Le attività sono essenzialmente ludiche e improntate sulla creatività. SCONTO EARLY BIRD FINO AL 22 DICEMBRE: €500 anziché €560! Periodo: gennaio 2017 - maggio 2017 (16 lezioni)Classi: martedìInizio corso: 10 gennaio 2017Orario: 16:45-18:30Fascia d’età: 8-10 anniDove: Via Roberto da Sanseverino, 95 (presso Impact Hub) Numero massimo partecipanti a classe: 14 Per maggiori informazioni: http://codemotionkids.com All\u0027iscrizione seguirà, entro 30 giorni, l\u0027emissione di una ricevuta fiscale. Nel caso in cui si necessiti di fattura, inoltrare la richiesta a: amministrazione@codemotion.it","eventURL":"https://www.eventbrite.it/e/biglietti-percorso-pianeta-codemotion-kids-trento-gennaio-maggio-27329141197?aff\u003debapi","eventType":"Conference","attendeeCount":26,"utcOffset":60,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484063100000,"startTimeLocal":1484066700000,"endDateGMT":1494374400000,"endDateLocal":1494374400000,"endTimeGMT":1494433800000,"endTimeLocal":1494437400000,"city":"Trento","state":"Trentino-Alto Adige","country":"Italy","localizedCountry":"Italy","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:03:07 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 - May 10 ","startDateString":"Jan 10","endDateString":"May 10","startTimeString":"4:45 PM UTC","endTimeString":"5:30 PM UTC","year":2017},{"id":24029,"organizerId":"26451539266","organizerName":"Breakthroughs in Healthcare Diversity Symposium: Creating Patient, Clinician, \u0026 Technology Networks","organizerURL":"https://www.eventbrite.com/e/breakthroughs-in-healthcare-diversity-symposium-creating-patient-clinician-technology-networks-registration-26451539266?aff\u003debapi","eventId":"26451539266","eventName":"Breakthroughs in Healthcare Diversity Symposium: Creating Patient, Clinician, \u0026 Technology Networks","eventDescription":"Please visit chisite.org/education/breakthroughs-healthcare-diversity for a detailed description. Get Social with #BHLSTS for Symposium. The Breakthroughs in Healthcare Diversity Symposium is a leading collaborative symposium for patients, patient groups, clinicians, researchers, technologists, healthcare and life science executives, and diversity and inclusion advocates to discuss diversity and inclusion in healthcare. The symposium brings these groups together in a collaborative forum to create networks, discuss best practices, and exchange new ideas related to making healthcare more diverse, with a specific focus on understanding how to serve underserved patient groups, including racial and ethnic minorities, women, and the LGBT community.  The symposium will also focus on in helping provider, pharma, and other organizations who serve patients with the latest ideas and insights on how these organizations can become more diverse and inclusive in order to best understand the unique and diverse needs of the patients they serve. Attendees will learn the newest insights and ideas, discuss practical solutions, and meet industry and marketplace colleagues.","eventURL":"https://www.eventbrite.com/e/breakthroughs-in-healthcare-diversity-symposium-creating-patient-clinician-technology-networks-registration-26451539266?aff\u003debapi","eventType":"Conference","attendeeCount":410,"utcOffset":-480,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484064000000,"startTimeLocal":1484035200000,"endDateGMT":1484092800000,"endDateLocal":1484006400000,"endTimeGMT":1484092800000,"endTimeLocal":1484064000000,"city":"South San Francisco","state":"CA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"General Tech","createdOn":"Sep 30, 2016 1:56:19 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"8:00 AM UTC","endTimeString":"4:00 PM UTC","year":2017},{"id":136212,"organizerId":"28802358630","organizerName":"6-Day Fungiculture Design Course in Guatemala","organizerURL":"https://www.eventbrite.com/e/6-day-fungiculture-design-course-in-guatemala-tickets-28802358630?aff\u003debapi","eventId":"28802358630","eventName":"6-Day Fungiculture Design Course in Guatemala","eventDescription":"Come immerse yourself in the fantastic world of fungi! This intensive course will give you all the hands-on experience and knowledge you need to grow your own mushrooms successfully. Topics covered will include: Mycophilosophy and the Ecology of Fungi Laboratory skills Indoor vs. Outdoor Cultivation DIY Methods Tissue cultures Liquid cultures Collecting and germinating spores Propagating mycelium on bulk substrate (grain, hay, recycled organic waste, etc) Mycoremediation Gardening with Mushrooms Permaculture Ethics and Strategy ...and more! The course will begin at 11:00am on Tuesday, January 10th and conclude after a Cacao Ceremony on Sunday evening. Feel free to come and stay with us Monday night before the course. Wholesome Meals: We will provide three vegetarian meals daily, prepared with fresh ingredients sourced from local markets. Our meals are typically served family-style and eaten together in a circle. We are happy and willing to accommodate vegan and gluten-free diets. Free Tent Camping: Includes access to solar shower and composting toilet. If you wish to stay in a private room, please book through our NuMundo portal. Languages Spoken: English, Spanish, German, Estonian. If you need to stay connected during the course, WiFi is available in our common room. We will limit our group size to a maximum of 16 people in order to ensure the most valuable, attentive experience for our course participants. Cost includes workshops, meals, tent camping, access to the yoga platform, and a cacao ceremony on the final night of the course. PS: Limited amount internships are available for this event. Commit to work-exchange at the Fungi Academy for at least 3 months and you\u0027ll get the workshop fee fully refunded at the end of your Internship. Contact us for more info!","eventURL":"https://www.eventbrite.com/e/6-day-fungiculture-design-course-in-guatemala-tickets-28802358630?aff\u003debapi","eventType":"Conference","attendeeCount":35,"utcOffset":-360,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484067600000,"startTimeLocal":1484046000000,"endDateGMT":1484524800000,"endDateLocal":1484438400000,"endTimeGMT":1484535600000,"endTimeLocal":1484514000000,"city":"San Marcos la Laguna","state":"San Marcos la Laguna","country":"Guatemala","localizedCountry":"Guatemala","source":"eventbrite","topics":"Design","createdOn":"Oct 26, 2016 8:51:32 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 -  15 ","startDateString":"Jan 10","endDateString":"Jan 15","startTimeString":"11:00 AM UTC","endTimeString":"9:00 PM UTC","year":2017},{"id":173334,"organizerId":"30490281252","organizerName":"Modern tools + techniques for data-driven companies ft. Cymon (a project by eSentire)","organizerURL":"https://www.eventbrite.ca/e/modern-tools-techniques-for-data-driven-companies-ft-cymon-a-project-by-esentire-tickets-30490281252?aff\u003debapi","eventId":"30490281252","eventName":"Modern tools + techniques for data-driven companies ft. Cymon (a project by eSentire)","eventDescription":"Open Data for Business: Modern tools + techniques for data-driven companies ft. Cymon (a project by eSentire) Roy Firestein, Research Lead at eSentire, will join us for a live webinar on Tuesday, Jan. 10 at noon. Firestein is responsible for Cymon, an open API that developers can use to identify computers and users that may pose a cyber security threat. He will discuss how companies can use modern tools and techniques such as Elasticsearch and microservices to power highly-scalable systems that ingest large amounts of data. He will also reveal what kind of open data the Cymon team is collecting and how how they analyze it to protect customers from cyber threats. Once you sign up, we\u0027ll send you a confirmation email with a link to register via Crowdcast. Make sure you complete your registration so you can watch live on Jan. 10th!","eventURL":"https://www.eventbrite.ca/e/modern-tools-techniques-for-data-driven-companies-ft-cymon-a-project-by-esentire-tickets-30490281252?aff\u003debapi","eventType":"Webinar","attendeeCount":150,"utcOffset":-300,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484067600000,"startTimeLocal":1484049600000,"endDateGMT":1484006400000,"endDateLocal":1484006400000,"endTimeGMT":1484071200000,"endTimeLocal":1484053200000,"source":"eventbrite","topics":"General Tech","createdOn":"Jan 2, 2017 9:03:02 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"0:00 PM UTC","endTimeString":"1:00 PM UTC","year":2017},{"id":173432,"organizerId":"27673328671","organizerName":"Registration for all lectures in the series on Health and Life-Sciences Entrepreneurship","organizerURL":"https://www.eventbrite.co.uk/e/registration-for-all-lectures-in-the-series-on-health-and-life-sciences-entrepreneurship-tickets-27673328671?aff\u003debapi","eventId":"27673328671","eventName":"Registration for all lectures in the series on Health and Life-Sciences Entrepreneurship","eventDescription":"Are you interested in innovation? Are you already an established entrepreneur thinking about translating your research idea into a successful business? Or do you simply want to gain insights into the commercial potential of your work? Innovation Forum Oxford, in collaboration with MRC Weatherall Institute of Molecular Medicine is providing a course of free workshops for scientists, entrepreneurs, clinicians and other NHS workers delivered by expert speakers.  These will equip you to take any idea from development through to a successful company.  Each workshop will be accompanied by networking opportunities. Where: Lecture Theatre 1, John Radcliffe Hospital, OxfordWhen: 18:00/18:30 Lecture 1 (12th Oct 2016, Wed, 18:30)Innovation in Oxfordshire and trends shaping the industry Professor Sir John Bell GBE, FRS Lecture 2 (24th Oct 2016, Mon, 18:00)How to develop commercial ideas from research  Torsten Reil, CEO – NaturalMotion Professor Andrew Carr, NIHR Senior Investigator and a Fellow of the Academy of Medical Sciences Professor Tom Brown, Professor of Nucleic Acid Chemistry - University of Oxford Lecture 3 (9th Nov 2016, Wed, 18:00)How to explore business tools to develop and evaluate your idea - Lean Canvas Maria Nikolou, Senior Programme Manager - the Entrepreneurship Centre Dr Les Russell, Chief Executive Officer - OrganOx Limited Lecture 4 (30th Nov 2016, Wed, 18:00)How to define your target market Neil Butler, CEO - Spectromics Lecture 5 (10th January 2017, Tue, 18:30)How to protect your idea and when to ask for advice Nicola McConville, Partner - Penningtons Manches Sue Staunton, Business services partner - James Cowper Kreston Dr Philip Webber, European Patent Attorney - Dehns Patent \u0026 Trade Mark Attorneys Lecture 6 (18th Jan 2017, Wed)Finance for Scientists  Lecture 7 (1st Feb 2017, Wed)How to write a business plan Professor Peter Dobson OBE Lecture 8 (22nd Feb 2017, Wed)How to give an effective pitch Lecture 9 (1st Mar 2017, Wed)How to negotiate Lecture 10 (15th Mar 2017, Wed)How to raise capital: From who and from where?  Andrew McClean, Lead Life Sciences Investor - Oxford Sciences Innovation Dr Mike Stein, CEO - OxStem Tom Britton, Co-founder and CTO - SyndicateRoom Lecture 11 (29th Mar 2017, Wed)How to effectively market your idea Lecture 12 (26th Apr 2017, Wed) Spinning out your research Lecture 13 (10th May 2017, Wed)Support for innovators Dr Victor Bolanos-Garcia, Knowledge Exchange and Impact Faculty Lead - Oxford Brookes University Register for individual talks or the whole series to receive a Certificate of attendance*. * Participants who attend 11 out of 13 lectures will receive a Certificate of attendance. SPEAKERS BIOGRAPHY: Professor Sir John Bell GBE, FRS Professor Sir John Bell GBE, FRS is Regius Professor of Medicine at Oxford University, and Chairman of the Office for the Strategic Coordination of Health Research. He served as President of the Academy of Medical Sciences from 2006 to 2011. As a Rhodes Scholar (1975-78), Sir John undertook his medical training in the UK and then went on to Stanford University, returning to the UK in 1987. His research interests are in the area of autoimmune disease and immunology where he has contributed to the understanding of immune activation in a range of autoimmune diseases. In 1993, he founded the Wellcome Trust Centre for Human Genetics, one of the world’s leading centres for complex trait common disease genetics. In 2001, he was appointed non-executive director of Roche Holding AG and in 2008 he joined the Gates Foundation Global Health Advisory Board which he has chaired since 2012. Sir John was responsible for the working party that produced the highly influential Academy of Medical Sciences “Strengthening Clinical Research” report that highlighted the need for the UK to focus some of its attention on developing expertise in translational research. In December 2011, Sir John was appointed one of two UK Life Sciences Champions by the Prime Minister. He sits on the board of Genome England Limited and chairs its Science Advisory Committee. He was appointed Knight Grand Cross of the Order of the British Empire (GBE) in the 2015 New Year Honours for services to medicine, medical research and the life science industry. Torsten Reil, CEO – NaturalMotion Torsten Reil, CEO – NaturalMotion holds a BA in Biology from Oxford University and an MSc in Evolutionary and Adaptive Systems from Sussex University. Prior to founding NaturalMotion, Torsten was researching for a PhD in Complex Systems at Oxford University’s Zoology department, from which he spun off NaturalMotion. Torsten has been named amongst MIT’s TR100 global top innovators, and has spoken and TED, TED Global, Google Zeitgeist and the Apple iPhone 5 keynote. Professor Andrew Carr, NIHR Senior Investigator and a Fellow of the Academy of Medical Sciences Professor Andrew Carr is an NIHR Senior Investigator and a Fellow of the Academy of Medical Sciences. He is the Nuffield Professor of Orthopaedic Surgery, Head of the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (from 2001) and an honorary consultant trauma and orthopaedic surgeon at the Oxford University Hospitals NHS Foundation Trust (from 1993). He is director of the NIHR Oxford Musculoskeletal BRU (2008-) and was a non-executive director of the Nuffield Orthopaedic Centre (NOC) NHS Trust (2001-2011). He was divisional director of clinical services from 2011-2013 and led the NOC during its merger to form Oxford University Hospital NHS foundation Trust. He co-founded the Royal College of Surgeons Trial Unit in Oxford in 2012. Professor Carr has made important contributions to improving the quality and outcome of surgery. He has published over 300 peer reviewed articles in journals including the Lancet, the BMJ and Science Translational Medicine. He is one of the most highly cited orthopaedic academics globally. He founded the Botnar Research Centre in 2002 and led the relocation of the Kennedy Institute for Rheumatology to Oxford in 2011 (a total capital investment of over £75M). The multidisciplinary department has grown under his leadership from 20 staff in 2001 to over 450 staff and 95 postgraduate students in 2016. He has pioneered the use of large scale surgical randomised controlled trials, this includes defining the indications for, and ethics of placebo, or sham surgery, controls in surgical trials. He has also led the involvement of patients in assessing the outcome of orthopaedic surgery with the development of the Oxford Scores. Used to predict and detect early failure of poorly performing surgical interventions they have been adopted by health providers and regulators worldwide, leading to policy and treatment guideline changes and significant improvements in the quality of life of patients. Professor Carr’s research into mechanisms of soft tissue inflammation, repair and fibrosis has led to the invention of novel electrospun nanofibre tissue engineering implants which aim to enhance endogenous tissue repair using biophysical cues. These implants are now entering first in man clinical trials funded by the Wellcome Trust Health Innovation Challenge Fund (HICF) and the NIHR i4i programme. Professor Tom Brown, Professor of Nucleic Acid Chemistry - University of Oxford Tom Brown was formerly Professor of Chemistry at Edinburgh University and Southampton University and is currently Professor of Nucleic Acid Chemistry at Oxford University. He is a member of the Departments of Chemistry and Oncology. His research interests centre on DNA sequence recognition and applications of oligonucleotide chemistry in biology and medicine. He is the co-founder of three Biotech companies (Oswel, ATDBio and Primer Design) and has published over 350 research papers and patents. He has received several awards including the Royal Society of Chemistry (RSC) Josef Loschmidt prize, the RSC award for Nucleic Acid Chemistry and the RSC prize for Interdisciplinary Research. He was Chemistry World entrepreneur of the year for 2014 and BBSRC Commercial Innovator of the Year and overall Innovator of the Year for 2016. Recently he was presented with a lifetime award for external engagement and promoting impact by Oxford University. Tom is a Fellow of the Royal Society of Edinburgh and a Fellow of the Royal Society of Chemistry. He is President of the Chemistry Biology Interface Division of the RSC and Editor-in-Chief of the RSC Book series on Chemical Biology. He is currently Associate Head of the Chemistry Department at Oxford with responsibility for Research.  Maria Nikolou, Senior Programme Manager - the Entrepreneurship Centre Maria Nikolou is the Senior Programme Manager at the Entrepreneurship Centre where she develops and delivers new programmes related to Entrepreneurship. In 2012, she established a seed fund investment scheme, Oxford Seed Fund, for the Entrepreneurship Centre which she currently directs and chairs the Advisory Board. The Seed Fund programme is aimed at early stage ventures from Oxford University students, staff and alumni. She’s also involved with curriculum courses related to entrepreneurship designed for business and engineering students. Finally, she is a board member at VentureFest that runs an annual event focused on SMEs. A scientist by training with a cross over to business, Maria is interested in supporting global innovative solutions for both commercial and social challenges. Maria holds an MBA (London, UK) and a PhD in Physics (US). She has worked as a Post-Doctoral Associate in Materials, Science and Engineering at Cornell University, NY and has international experience working in both academia and industry. Dr Les Russell, Chief Executive Officer - OrganOx Limited Les has been CEO of OrganOx since its formation in 2008. He holds first class honours and PhD degrees in Chemistry from the University of London and has extensive experience in the medical devices industry. Early in his career he worked in R\u0026D with Ciba Corning developing sensor technologies for blood analysis before moving into business development, marketing and general management roles with early stage and multi-national corporations including Byk Gulden and Baxter. He also has experience of leading smaller companies through institutional fund-raisings, an IPO on AIM, an acquisition and securing additional funds from institutional investors. Les has led OrganOx through 5 funding rounds and development of the OrganOx metra normothermic liver perfusion device from laboratory bench to pivotal clinical studies and full commercialisation and helped secure 3 grants for additional clinical studies and further development. Neil Butler, CEO - Spectromics The majority of my career has involved managing technology businesses, with the past 17 years focused on medical diagnostics within young entrepreneurial companies. My executive career in diagnostics focused on taking conceptual technologies through to companies ready for commercial sales and investor exit. For the past 5 years I have devoted most of my time to non-executive board positions of young diagnostic companies.I have worked on a full spectrum of analytical technologies including immunochemistry, electrochemistry, nucleic acid, cell counting, single cell analysis and sequencing. A majority of the diagnostic businesses that I have led have been involved with near-patient testing or portable systems suited to use in decentralised settings, rather than for high throughput laboratory testing. This has involved building an understanding of the regulatory approach as well as the clinical pathways and healthcare economics. Relationships have been established with many of the large IVD companies.I have personally been involved with raising $100m over about 10 financing rounds from European / US investors. Also I have had experience from the VC side of transactions with recent investment due diligence assignments for Novartis Ventures and other VC’s.My earlier career was spent in large corporates involving polymers and semi-finished products used in medical devices / electronics involving management positions including production, product management, sales and marketing. Nicola McConville, Partner - Penningtons Manches Nicola is a partner at law firm Penningtons Manches and advises technology companies on all aspects of corporate law including the delivery of funding rounds and strategies for growth and realisation of value. She has acted for numerous companies from early stage through to major institutional funding rounds, strategic acquisitions and exit via sale or IPO. Her clients include organisations in the life sciences, digital and clean tech sectors, many of which have an international dynamic to their business. She has advised over 40 spin out and start-ups companies from Oxford University as well as several more from other institutions. Nicola is recognised by both Chambers UK and The Legal 500, winning praise for coming up with ‘simple but effective solutions to complex legal issues’ and for being ‘absolutely charming and very competent’. She has also been described by clients in the directories as being ‘absolutely passionate about her job’ and as having ‘a palpable determination to drive change that is a pleasure to witness’. Sue Staunton, Business services partner - James Cowper Kreston Sue Staunton is a business services partner for accountants and business advisers, James Cowper Kreston, based in their Oxford office. Sue heads the firm\u0027s technology team which advises clients of all sizes from spin out to IPO and beyond. Sue works with clients on the development and implementation of their corporate strategies. She also has a great deal of experience in working with businesses in financial crisis to establish strategies to assist them to move forward successfully. Sue has been involved in running a number of businesses so understands what it can be like at the sharp end! James Cowper Kreston is one of the leading firms of accountants and business advisers in the Thames Valley and South of England, with over 200 Partners and staff operating from six offices. The firm has a strong international capability through its membership of Kreston International, the 13th largest accounting association in the World. Dr. Philip Webber, European Patent Attorney - Dehns Patent \u0026 Trade Mark Attorneys Philip is a European patent attorney with nearly 25 years’ experience of working with patents in the biotech and pharma fields. His first degree was in genetics from Cambridge University (UK); he then carried out research in molecular biology and received his PhD from Warwick University (UK).  He qualified as a UK and European Patent Attorney with Dehns (formerly Frank B. Dehn \u0026 Co.) and is now a partner in their Oxford Life Sciences Group.  Philip writes and deals with patent applications in all areas of molecular biology and biochemistry including genomics, proteomics, recombinant DNA and protein products, transgenic plants and animals, diagnostics assays, virology and vaccines. He has particular expertise in patenting antibodies, stem cells and CRISPR-based inventions. Philip works mainly with SMEs and universities by obtaining patent protection for their inventions and advising them on their IP strategies.   He is an active member of the Life Sciences Committee of the UK Chartered Institute of Patent Attorneys (CIPA).  He has spoken at over 100 conferences, and on BBC Radio 4 on the patenting of inventions, as well as publishing a number of papers in this area. Professor Peter Dobson OBE Professor Peter J Dobson OBE, BSc, MA (Oxon), PhD, C Phys, F Inst P, Member of the ACS, FRCS. (The Queen’s College, Oxford) Peter has had a broad career covering a wide range of disciplines from physics and chemistry to materials science and engineering. He has also worked in industry (Philips) as well as academia (Imperial College and Oxford) and was responsible for creating and building The Begbroke Science Park for Oxford University. He has published over 180 papers and 30 patents. He has founded 3 companies and advised on the formation of 8 more. He was (2009-2013) the Strategic Advisor on Nanotechnology to the Research Councils in the UK and sits on several EPSRC panels and committees. Peter sits on the EPSRC Strategic Advisory Board on Quantum Technology. He was awarded the OBE in 2013 in recognition of his contributions to science and engineering. He is currently a Principal Fellow at Warwick Manufacturing Group, Visiting Professor at King’s College London and also has part-time positions at UCL and Bristol University. Peter delivers courses at Graduate level in the areas of biosensors, nanotechnology, innovation, entrepreneurship and related topics and advises on innovation. Andrew McClean, Lead Life Sciences Investor - Oxford Sciences Innovation Andrew McLean is the lead life sciences investor for Oxford Sciences Innovation. OSI is a £350 million company investing in the most exciting start-ups built on world-leading Oxford science. Prior to joining OSI Andrew consulted in the pharmaceutical \u0026 biotech practice at McKinsey. Andrew is a physician by training, studied philosophy, politics \u0026 economics at Christ Church in Oxford and his work background includes stints in wine shops, hospitals \u0026 Goldman Sachs. Dr Mike Stein, CEO - OxStem Dr. Michael Stein is a serial entrepreneur, medical scientist, business executive and strategic advisor with senior experience in healthcare, drug discovery, therapeutics, media and software industries. Dr. Stein is passionate about healthcare and the environment and trained in financial risk management.  A dynamic team builder with natural instincts for leadership and communication, he is highly skilled in business development at the highest levels of government and corporate enterprise. Has inspired and built several successful internet and healthcare businesses, and able to support development, growth and strategic advice for early stage companies or spinouts from Universities or larger corporations. Dr. Michael Stein is the current Chairman and CEO of both OxStem Ltd. and Province Tx (Oy). Oxstem is a drug discovery company targeting stem and progenitor cells which was recently spun out of the University of Oxford. Michael will continue as CEO at OxStem having raised a £16.9m series A (a UK record for a university spin-out), until he has found his successor (in process). ProVince Tx, a spin-out company from the University of Helsinki, is a developer of novel vaccination-based cancer therapies. Its unique approach to immunotherapy in cancer combines an oncolytic virus with tumour specific peptides, for a rapidly adaptable and long lasting cancer vaccination. In 2001, he co-founded the Map of Medicine Ltd (the Map) with University College London. The Map was nationally licensed across NHS England in 2005 and is primarily used by commissioners for planning healthcare services across the continuum of care. The Map was acquired by Hearst Business Media (HBM) in 2008, and Michael transitioned as executive vice-president (healthcare innovation) to HBM until 2011. Since 2011, Michael has assisted a number of start-up businesses, notably serving as the founding CEO and executive chairman for Doctor Care Anywhere, acquired by Synergix in 2015. Michael graduated as a medical doctor (Honours) and biochemist (First Class Honours) from the University of Cape Town (1988) and from the University of Oxford (Rhodes Scholar) with a doctorate in physiological sciences (Immunology). He subsequently was appointed as a Junior Research Fellow in Medicine at Trinity College, Oxford (1992-95). Tom Britton, Co-founder and CTO - SyndicateRoom Born in Los Angeles, Tom moved to the UK to play football and after three fairly successful years realised it was time to focus on his non-sporting career.  Before joining SyndicateRoom as a co-founder Tom worked in product development on a number of software-based projects including managing the development of the mobile applications for TheTrainline. Tom completed his MBA at Cambridge where he focused on developing start-ups and has taken a keen interest in ventures focused on helping other start-ups.  Tom leads SyndicateRoom\u0027s website development team though his skills and experience ensure that he does a lot more than just that.  In his spare time Tom volunteers for Camp Footprints, rock climbs, and still plays the odd five aside game. Dr Victor Bolanos-Garcia, Knowledge Exchange and Impact Faculty Lead - Oxford Brookes University Dr Victor Bolanos-Garcia is Senior Lecturer in Clinical Biochemistry, Knowledge Exchange and Impact Faculty Lead and member of the management team of the BioInnovation hub at Oxford Brookes University. He represents Oxford Brookes at the Oxford Academic Health Science Centre (OxAHSC), a new partnership with Oxford Health NHS Foundation Trust, Oxford University Hospitals NHS Trust, and the University of Oxford that combines the institutions’ individual strengths in basic science, translational research and clinical expertise to address 21st century healthcare challenges thus contributing to drive economic growth. He is also a member of the iCASE committee of the Doctoral Training Programme (DTP) funded by the BBSRC and run in partnership with The University of Oxford, The Pirbright Institute, Diamond Light Source (DLS), STFC Central Laser Facility and the ISIS Neutron Source. Dr Bolanos-Garcia is a structural biologist who trained with Francisco Bolívar-Zapata (the creator of the plasmid pBR322, one of the first widely used E. coli cloning vectors) at the National Autonomous University of Mexico (UNAM), Ermanno Gherardi at the Laboratory of Molecular Biology of the Medical Research Council (LMB-MRC) and Prof. Sir Tom Blundell at the University of Cambridge. As a Wellcome Trust International Research Fellow, Bolanos-Garcia studied the mechanisms of cell proliferation and motility by the MET kinase receptor and initiated work on the spindle assembly checkpoint (SAC), the mechanism that ensures the accurate separation of the genetic material to an offspring every time a cell divides. Study of the SAC in the Bolanos-Garcia lab follows a multidisciplinary approach that combines X-ray protein crystallography, protein biochemistry and protein biophysics with chemioinformatics, molecular and cellular biology methods. As well as conducting basic research, Dr Bolanos-Garcia leads a programme of science directed towards improvements in human health through the development of innovative diagnosis and therapeutic approaches to tackle cancer, birth and development disorders resulting from chromosome separation defects.  IN COLLABORATION WITH: SUPPORTED BY: INNOVATION FORUM PARTNERS: INNOVATION FORUM OXFORD LOCAL PARTNERS: About the Innovation Forum The Innovation Forum seeks to promote innovation by building bridges between academia, industry and government and linking innovative minds across disciplines.  They are a global network of researchers and entrepreneurs active at the Universities of Cambridge, Oxford, London, Edinburgh, Copenhagen, Lausanne, Barcelona, Hong Kong and Tokyo.  For more information, please visit: www.inno-forum.org","eventURL":"https://www.eventbrite.co.uk/e/registration-for-all-lectures-in-the-series-on-health-and-life-sciences-entrepreneurship-tickets-27673328671?aff\u003debapi","eventType":"Conference","attendeeCount":320,"utcOffset":0,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484073000000,"startTimeLocal":1484073000000,"endDateGMT":1499817600000,"endDateLocal":1499817600000,"endTimeGMT":1499895000000,"endTimeLocal":1499895000000,"city":"Oxford","country":"United Kingdom","localizedCountry":"United Kingdom","source":"eventbrite","topics":"Startup","createdOn":"Jan 2, 2017 9:03:15 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 - Jul 12 ","startDateString":"Jan 10","endDateString":"Jul 12","startTimeString":"6:30 PM UTC","endTimeString":"9:30 PM UTC","year":2017},{"id":157107,"organizerId":"29233408913","organizerName":"Everything You Need to Know to Start a Career in UX","organizerURL":"https://www.eventbrite.com/e/everything-you-need-to-know-to-start-a-career-in-ux-tickets-29233408913?aff\u003debapi","eventId":"29233408913","eventName":"Everything You Need to Know to Start a Career in UX","eventDescription":"The User Experience job market in Kansas City is heating up! Join this free webinar to hear from experienced UX professionals what it takes to break into – and succeed – in this growing field. In this webinar, you’ll learn: What UX is (hint: it’s not just about how something looks) The types of companies in Kansas City that are looking for UX talent and the roles they’re hiring for What skills and attributes you need to get hired, whether you’re just starting your career or transitioning from another field How you can get real-world experience to build your portfolio even before you get hired Additional resources and answers to your burning questions About the presenter Amy Devin is the UX Program Director of Pointworks Academy. Since getting her start in UX at Garmin nearly a decade ago, she has been educating individuals and companies about user-centered design wherever she goes. Whether teaching core concepts to individuals in a career transition or working with executives to discern improvement opportunities in their technology processes, she is talented at distilling complex concepts into understandable, relatable ideas.","eventURL":"https://www.eventbrite.com/e/everything-you-need-to-know-to-start-a-career-in-ux-tickets-29233408913?aff\u003debapi","eventType":"Webinar","attendeeCount":1000,"utcOffset":-360,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484074800000,"startTimeLocal":1484053200000,"endDateGMT":1484006400000,"endDateLocal":1484006400000,"endTimeGMT":1484078400000,"endTimeLocal":1484056800000,"source":"eventbrite","topics":"Design","createdOn":"Nov 22, 2016 12:49:51 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"1:00 PM UTC","endTimeString":"2:00 PM UTC","year":2017},{"id":173463,"organizerId":"30138776893","organizerName":"Learn to Code Visually using \"Source Creator\"","organizerURL":"https://www.eventbrite.com/e/learn-to-code-visually-using-source-creator-tickets-30138776893?aff\u003debapi","eventId":"30138776893","eventName":"Learn to Code Visually using \"Source Creator\"","eventDescription":"We are running this campaing which is focused on helping you learn to code. Learning to code or learning a new programming langugaes by reading books can be daunting. Even watching hours and hours of instructor led tutorials or reading source code can be very time consuming. SourceCreator is the answer to all this pain! Please watch the video at our Kickstarter home page! This Eventbrite event is for those of you who are interested in joining us for a live video broadcast following our Kickstarter campaing. We would like to thank those who backed us and explain the next steps for this exciting software. meanwhile don\u0027t forget to support us. Go to http://www.SourceCreator.com and share the project with your friends :)","eventURL":"https://www.eventbrite.com/e/learn-to-code-visually-using-source-creator-tickets-30138776893?aff\u003debapi","eventType":"Webinar","attendeeCount":100,"utcOffset":0,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484078400000,"startTimeLocal":1484078400000,"endDateGMT":1484006400000,"endDateLocal":1484006400000,"endTimeGMT":1484083800000,"endTimeLocal":1484083800000,"source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:03:20 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"8:00 PM UTC","endTimeString":"9:30 PM UTC","year":2017},{"id":157122,"organizerId":"28049074537","organizerName":"Data Science in 30 Minutes: Building \u0026 Testing a Complete Trading Strategy","organizerURL":"https://www.eventbrite.com/e/data-science-in-30-minutes-building-testing-a-complete-trading-strategy-tickets-28049074537?aff\u003debapi","eventId":"28049074537","eventName":"Data Science in 30 Minutes: Building \u0026 Testing a Complete Trading Strategy","eventDescription":"Building and Testing a Complete Trading Strategy Using Open Source Tools This talk will provide a deconstruction of the end to end process of building a systematic trading strategy. We will break the workflow into 6 distinct stages, from data to trade execution. Jess will highlight a range of powerful open source Python libraries relevant for each stage of this process. About the speakers: Dr. Jess Stauth is the VP of Quant Strategy at Quantopian, a fintech startup based in Boston. Jess has a PhD in Biophysics from UC Berkeley. She began her career in quantitative finance in 2008 as a research analyst at the StarMine Corporation in San Francisco. Following an acquisition by Thomson Reuters, Jess moved into the role of Director of Quant Strategy. At Quantopian, Jess runs a research team of analysts and data scientists tasked with identifying promising trading strategies built by Quantopian\u0027s online community of 90,000+ members from 180+ countries around the world.  Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners. Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves. Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events. --- The Data Incubator is a data science education company based in NYC, DC, and SF with both corporate training as well as recruiting services. For data science corporate training, we offer customized, in-house corporate training solutions in data and analytics. For data science hiring, we run a free 8 week fellowship training PhDs to become data scientists. The fellowship selects 2% of its 2000+ quarterly applicants and is free for Fellows. Hiring companies (including EBay, Capital One, Pfizer) pay a recruiting fee only if they successfully hire. You can read about us on Harvard Business Review, VentureBeat, or The Next Web, or read about our alumni at LinkedIn, Palantir or the NYTimes.","eventURL":"https://www.eventbrite.com/e/data-science-in-30-minutes-building-testing-a-complete-trading-strategy-tickets-28049074537?aff\u003debapi","eventType":"Webinar","attendeeCount":5000,"utcOffset":-300,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484087400000,"startTimeLocal":1484069400000,"endDateGMT":1484006400000,"endDateLocal":1484006400000,"endTimeGMT":1484089200000,"endTimeLocal":1484071200000,"source":"eventbrite","topics":"Developer,Big Data","createdOn":"Nov 22, 2016 12:49:52 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"5:30 PM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":24035,"organizerId":"28049074537","organizerName":"Data Science in 30 Minutes #6","organizerURL":"https://www.eventbrite.com/e/data-science-in-30-minutes-6-tickets-28049074537?aff\u003debapi","eventId":"28049074537","eventName":"Data Science in 30 Minutes #6","eventDescription":"Topic TBD - RSVP to receive details in the coming weeks! About the speaker: Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners. Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves. Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events. --- The Data Incubator is a data science education company based in NYC, DC, and SF with both corporate training as well as recruiting services. For data science corporate training, we offer customized, in-house corporate training solutions in data and analytics. For data science hiring, we run a free 8 week fellowship training PhDs to become data scientists. The fellowship selects 2% of its 2000+ quarterly applicants and is free for Fellows. Hiring companies (including EBay, Capital One, Pfizer) pay a recruiting fee only if they successfully hire. You can read about us on Harvard Business Review, VentureBeat, or The Next Web, or read about our alumni at LinkedIn, Palantir or the NYTimes.","eventURL":"https://www.eventbrite.com/e/data-science-in-30-minutes-6-tickets-28049074537?aff\u003debapi","eventType":"Webinar","attendeeCount":1000,"utcOffset":-300,"startDateGMT":1484006400000,"startDateLocal":1484006400000,"startTimeGMT":1484087400000,"startTimeLocal":1484069400000,"endDateGMT":1484006400000,"endDateLocal":1484006400000,"endTimeGMT":1484089200000,"endTimeLocal":1484071200000,"source":"eventbrite","topics":"Big Data","createdOn":"Sep 30, 2016 1:56:20 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 10 ","startDateString":"Jan 10","endDateString":"Jan 10","startTimeString":"5:30 PM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":136238,"organizerId":"28787800085","organizerName":"CPD200: Google Cloud Platform for Solution Developers (CEST)","organizerURL":"https://www.eventbrite.com/e/cpd200-google-cloud-platform-for-solution-developers-cest-tickets-28787800085?aff\u003debapi","eventId":"28787800085","eventName":"CPD200: Google Cloud Platform for Solution Developers (CEST)","eventDescription":"Developing Solutions for Google Cloud Platform CPD200 Course Length: 3 days Course Description This 3-day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. Learning Objectives At the end of this one-day course, participants will be able to: Manage Google Cloud Source Repositories using the Google Cloud Platform Console Test an App Engine application using the App Engine SDK Access the App Engine Development Server Console Create an API using Google Cloud Endpoints Test a Cloud Endpoint API using the API Explorer Deploy an application to App Engine using the App Engine SDK Design, structure and configure an App Engine application using multiple services Create Client IDs using the Google Cloud Platform Console Secure App Engine services and Cloud Endpoints APIs using authentication Configure and upload new versions of App Engine services Integrate Google Cloud Logging into App Engine applications Review quota usage in a Google Cloud Platform project Integrate different types of storage with App Engine applications Create and implement a data model for use with Google Cloud Datastore Implement a variety of queries in Google Cloud Datastore Update the index configuration in Google Cloud Datastore Implement transactions using Google Cloud Datastore Review Google Cloud Trace reports in the Google Cloud Platform Console Integrate the Memcache API into an App Engine application to increase performance Configure, run and review the output of Google Cloud Security Scanner Configure the scaling behavior of individual App Engine Services Create App Engine handlers for Push Task Queues Send email from an App Engine application using the Mail API Schedule Tasks in App Engine using the Cron Service Update the configuration of the Cron Service Secure Task Push, and Cron Service handlers Export Google Cloud Platform data from a project Delete Google Cloud Platform projects and resources Who Should Attend This class is intended for experienced application developers who want to learn how to develop and deploy applications on Google Cloud Platform. Prerequisites Before attending this course, participants should have: Attended CP100A – Google Cloud Platform Fundamentals (or equivalent experience) Basic proficiency with command-line tools and Linux operating system environments Experience developing applications and APIs using a common programming language such as Java or Python Prior solutions development experience, either on-premises or in a public cloud environment. Modules Module 1: Developing Solutions for Google Cloud Platform Identify the advantages of Google Cloud Platform for solution development Identify services and tools available for solution development using Google Cloud Platform Compare examples of Google Cloud Platform architectures for solution development Lab: Google Cloud Source Repositories Learning Objectives Create a project for the course Use Google Cloud Shell to develop and test an application using the App Engine SDK Configure Google Cloud Source Repositories to remotely host code in Google Cloud Platform Module 2: Google Cloud Endpoints Identify Cloud Endpoints features Explain how to develop APIs using Cloud Endpoints Compare development of Cloud Endpoints APIs using Java and Python Lab: Google Cloud Endpoints Learning Objectives Review and edit Cloud Endpoints source code Deploy an application to App Engine Test a Cloud Endpoints API in the APIs Explorer Module 3: App Engine Services Explain the use cases for App Engine Services and how to use them in structuring an application Identify how to deploy and access individual App Engine services Explain how to route requests to individual services Lab: Google App Engine Services Learning Objectives Review the code for a sample application used throughout the remainder of the course Deploy multiple App Engine services to a single project Module 4: User Authentication and Credentials Compare authentication and authorization Identify options for securing App Engine applications Explain the use cases for Application Default Credentials Lab: User Authentication Learning Objectives Configure the OAuth consent screen and create a client ID Modify Conference Central to use your client ID Test Conference Central authentication Modify your admin service to require administrator rights Module 5: Managing App Engine Applications Explain the use cases for App Engine versions Identify how to access App Engine monitoring and logging services Explain the use of resource quotas and how to troubleshoot related errors Lab: Managing Google App Engine Applications Learning Objectives Review App Engine settings, quotas, instances, and logs Update App Engine services to log to Cloud Logging Deploy new versions of your default and admin services Route all traffic to a new version of the default service Module 6: Storage for Solution Developers Compare storage options for App Engine Solutions Developers Explain the purpose of, and use cases for, Google Cloud Storage Compare Cloud SQL integration with App Engine and Compute Engine Explain basic Cloud Datastore terminology and concepts, including Entity Groups Lab: Google Cloud Datastore Learning Objectives Update an existing application to save data persistently Test saving application data to Cloud Datastore List and view Cloud Datastore entities in the Google Cloud Platform Console Module 7: Queries and Indexes Identify available query filters for Cloud Datastore Compare single-property, and composite indexes in Cloud Datastore Configure and optimize indexes for Cloud Datastore Lab: Google Cloud Datastore Queries and Indexes Learning Objectives Add support for querying entities by kind and ancestor Add query filters to Cloud Datastore searches Update an index configuration to support composite indexes Module 8: Entity Groups, Consistency, and Transactions Identify the steps of a Cloud Datastore write Compare strong and eventual consistency in Cloud Datastore Identify how to achieve strongly consistent queries Identify best practices for Cloud Datastore transactions Lab: Google Cloud Datastore Transactions Learning Objectives Add support for using Cloud Datastore transactions to an application Add a Cloud Endpoint API method to view data from a different service Module 9: App Engine Performance and Optimization Identify Memcache types, use cases, and implementation patterns Compare available scaling behaviors for application services Configure application scaling for individual services Lab: Google App Engine Performance and Optimization Learning Objectives Review Cloud Trace reports for an application Configure and run a security scan for an application Update an application to make use of memcache Configure and test application scaling for application services Module 10: Task Queues Compare Push and Pull Queues Explain how to schedule tasks with the Cron Service Configure and securing Push and Pull Queues, as well as the Cron Service Lab: Task Queue API Learning Objectives Add a task handler to send an email using the Mail API Add a Cron Service handler and configuration to an existing application Lab: Deleting Google Cloud Platform Projects and Resources Learning Objectives Export Google Cloud Platform data from a project Delete Google Cloud Platform resources Shut down a Google Cloud Platform project","eventURL":"https://www.eventbrite.com/e/cpd200-google-cloud-platform-for-solution-developers-cest-tickets-28787800085?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":60,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484121600000,"startTimeLocal":1484125200000,"endDateGMT":1484265600000,"endDateLocal":1484265600000,"endTimeGMT":1484326800000,"endTimeLocal":1484330400000,"city":"Virtual CEST","country":"Spain","localizedCountry":"Spain","source":"eventbrite","topics":"Cloud,Developer","createdOn":"Oct 26, 2016 8:51:34 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 -  13 ","startDateString":"Jan 11","endDateString":"Jan 13","startTimeString":"9:00 AM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173483,"organizerId":"28787800085","organizerName":"CPD200: Developing Solutions for Google Cloud Platform (CEST)","organizerURL":"https://www.eventbrite.com/e/cpd200-developing-solutions-for-google-cloud-platform-cest-tickets-28787800085?aff\u003debapi","eventId":"28787800085","eventName":"CPD200: Developing Solutions for Google Cloud Platform (CEST)","eventDescription":"Developing Solutions for Google Cloud Platform CPD200 Course Length: 3 days Course Description This 3-day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. Learning Objectives At the end of this one-day course, participants will be able to: Manage Google Cloud Source Repositories using the Google Cloud Platform Console Test an App Engine application using the App Engine SDK Access the App Engine Development Server Console Create an API using Google Cloud Endpoints Test a Cloud Endpoint API using the API Explorer Deploy an application to App Engine using the App Engine SDK Design, structure and configure an App Engine application using multiple services Create Client IDs using the Google Cloud Platform Console Secure App Engine services and Cloud Endpoints APIs using authentication Configure and upload new versions of App Engine services Integrate Google Cloud Logging into App Engine applications Review quota usage in a Google Cloud Platform project Integrate different types of storage with App Engine applications Create and implement a data model for use with Google Cloud Datastore Implement a variety of queries in Google Cloud Datastore Update the index configuration in Google Cloud Datastore Implement transactions using Google Cloud Datastore Review Google Cloud Trace reports in the Google Cloud Platform Console Integrate the Memcache API into an App Engine application to increase performance Configure, run and review the output of Google Cloud Security Scanner Configure the scaling behavior of individual App Engine Services Create App Engine handlers for Push Task Queues Send email from an App Engine application using the Mail API Schedule Tasks in App Engine using the Cron Service Update the configuration of the Cron Service Secure Task Push, and Cron Service handlers Export Google Cloud Platform data from a project Delete Google Cloud Platform projects and resources Who Should Attend This class is intended for experienced application developers who want to learn how to develop and deploy applications on Google Cloud Platform. Prerequisites Before attending this course, participants should have: Attended CP100A – Google Cloud Platform Fundamentals (or equivalent experience) Basic proficiency with command-line tools and Linux operating system environments Experience developing applications and APIs using a common programming language such as Java or Python Prior solutions development experience, either on-premises or in a public cloud environment. Modules Module 1: Developing Solutions for Google Cloud Platform Identify the advantages of Google Cloud Platform for solution development Identify services and tools available for solution development using Google Cloud Platform Compare examples of Google Cloud Platform architectures for solution development Lab: Google Cloud Source Repositories Learning Objectives Create a project for the course Use Google Cloud Shell to develop and test an application using the App Engine SDK Configure Google Cloud Source Repositories to remotely host code in Google Cloud Platform Module 2: Google Cloud Endpoints Identify Cloud Endpoints features Explain how to develop APIs using Cloud Endpoints Compare development of Cloud Endpoints APIs using Java and Python Lab: Google Cloud Endpoints Learning Objectives Review and edit Cloud Endpoints source code Deploy an application to App Engine Test a Cloud Endpoints API in the APIs Explorer Module 3: App Engine Services Explain the use cases for App Engine Services and how to use them in structuring an application Identify how to deploy and access individual App Engine services Explain how to route requests to individual services Lab: Google App Engine Services Learning Objectives Review the code for a sample application used throughout the remainder of the course Deploy multiple App Engine services to a single project Module 4: User Authentication and Credentials Compare authentication and authorization Identify options for securing App Engine applications Explain the use cases for Application Default Credentials Lab: User Authentication Learning Objectives Configure the OAuth consent screen and create a client ID Modify Conference Central to use your client ID Test Conference Central authentication Modify your admin service to require administrator rights Module 5: Managing App Engine Applications Explain the use cases for App Engine versions Identify how to access App Engine monitoring and logging services Explain the use of resource quotas and how to troubleshoot related errors Lab: Managing Google App Engine Applications Learning Objectives Review App Engine settings, quotas, instances, and logs Update App Engine services to log to Cloud Logging Deploy new versions of your default and admin services Route all traffic to a new version of the default service Module 6: Storage for Solution Developers Compare storage options for App Engine Solutions Developers Explain the purpose of, and use cases for, Google Cloud Storage Compare Cloud SQL integration with App Engine and Compute Engine Explain basic Cloud Datastore terminology and concepts, including Entity Groups Lab: Google Cloud Datastore Learning Objectives Update an existing application to save data persistently Test saving application data to Cloud Datastore List and view Cloud Datastore entities in the Google Cloud Platform Console Module 7: Queries and Indexes Identify available query filters for Cloud Datastore Compare single-property, and composite indexes in Cloud Datastore Configure and optimize indexes for Cloud Datastore Lab: Google Cloud Datastore Queries and Indexes Learning Objectives Add support for querying entities by kind and ancestor Add query filters to Cloud Datastore searches Update an index configuration to support composite indexes Module 8: Entity Groups, Consistency, and Transactions Identify the steps of a Cloud Datastore write Compare strong and eventual consistency in Cloud Datastore Identify how to achieve strongly consistent queries Identify best practices for Cloud Datastore transactions Lab: Google Cloud Datastore Transactions Learning Objectives Add support for using Cloud Datastore transactions to an application Add a Cloud Endpoint API method to view data from a different service Module 9: App Engine Performance and Optimization Identify Memcache types, use cases, and implementation patterns Compare available scaling behaviors for application services Configure application scaling for individual services Lab: Google App Engine Performance and Optimization Learning Objectives Review Cloud Trace reports for an application Configure and run a security scan for an application Update an application to make use of memcache Configure and test application scaling for application services Module 10: Task Queues Compare Push and Pull Queues Explain how to schedule tasks with the Cron Service Configure and securing Push and Pull Queues, as well as the Cron Service Lab: Task Queue API Learning Objectives Add a task handler to send an email using the Mail API Add a Cron Service handler and configuration to an existing application Lab: Deleting Google Cloud Platform Projects and Resources Learning Objectives Export Google Cloud Platform data from a project Delete Google Cloud Platform resources Shut down a Google Cloud Platform project","eventURL":"https://www.eventbrite.com/e/cpd200-developing-solutions-for-google-cloud-platform-cest-tickets-28787800085?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":60,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484121600000,"startTimeLocal":1484125200000,"endDateGMT":1484265600000,"endDateLocal":1484265600000,"endTimeGMT":1484326800000,"endTimeLocal":1484330400000,"city":"Virtual CEST","country":"Spain","localizedCountry":"Spain","source":"eventbrite","topics":"Cloud","createdOn":"Jan 2, 2017 9:03:22 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 -  13 ","startDateString":"Jan 11","endDateString":"Jan 13","startTimeString":"9:00 AM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":136237,"organizerId":"28789278507","organizerName":"CPB200: Google BigQuery for Data Analysts, London","organizerURL":"https://www.eventbrite.com/e/cpb200-google-bigquery-for-data-analysts-london-tickets-28789278507?aff\u003debapi","eventId":"28789278507","eventName":"CPB200: Google BigQuery for Data Analysts, London","eventDescription":"Course Description This 3-day instructor-led class introduces participants to Google BigQuery. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to store, transform, analyze, and visualize data using Google BigQuery.  Learning Objectives At the end of this course, participants will be able to: Understand the purpose of and use cases for Google BigQuery Describe ways in which customers have used Google BigQuery to improve their businesses Understand the architecture of BigQuery and how queries are processed Interact with BigQuery using the web UI and command-line interface Identify the purpose and structure of BigQuery schemas and data types Understand the purpose of and advantages of BigQuery destinations tables and caching Use BigQuery jobs Transform and load data into BigQuery Export data from BigQuery Store query results in a destination table Create a federated query Export log data to BigQuery and query it Understand the BigQuery pricing structure and evaluate mechanisms for controlling query and storage costs Identify best practices for optimizing query performance Troubleshoot common errors in BigQuery Use various BigQuery functions Use external tools such as spreadsheets to interact with BigQuery Visualize BigQuery data Use access controls to restrict access to BigQuery data Query Google Analytics Premium data exported to BigQuery Who Should Attend This class is intended for data analysts and data scientists responsible for: analyzing and visualizing big data, implementing cloud-based big data solutions, deploying or migrating big data applications to the public cloud, implementing and maintaining large-scale data storage environments, and transforming/processing big data. Prerequisites Before attending this course, you should have: Attended CP100A – Google Cloud Platform Fundamentals OR CPB100 – Google Cloud Platform Big Data \u0026 Machine Learning Fundamentals (or equivalent experience) Experience using a SQL-like query language to analyze data Modules Module 1: Introducing Google BigQuery Learning Objectives Understand the purpose of and use cases for Google BigQuery Describe ways in which customers have used Google BigQuery to improve their businesses Lab: Sign Up for the Free Trial and Create a Project Learning Objectives Register for the GCP free trial Create a project using the Cloud Platform Console Module 2: BigQuery Functional Overview Learning Objectives Describe the components of a BigQuery project Identify how BigQuery stores data and list the advantages of the storage model Understand the architecture of BigQuery and how queries are processed Describe the methods of interacting with BigQuery Lab: Explore BigQuery Interfaces Learning Objectives Explore features of the BigQuery web UI Learn how to use the bq shell Execute queries using the BigQuery CLI in Cloud Shell Module 3: BigQuery Fundamentals Learning Objectives Describe the purpose of denormalizing data Identify the purpose and structure of BigQuery schemas and data types Explain the types of actions available in BigQuery jobs Understand the purpose of and advantages of BigQuery destinations tables and caching Lab: BigQuery Components and Jobs Learning Objectives Explore how data is organized in BigQuery Learn about the two types of table schemas Learn about jobs, and how to cancel them Investigate caching and destination tables Module 4: Ingesting, Transforming, and Storing Data Learning Objectives Describe the methods for ingesting data, transforming data, and storing data using BigQuery Explain the function of BigQuery federated queries Lab 4, Part I: Loading Data into BigQuery and Using Federated Queries Learning Objectives Load a CSV file into a BigQuery table using the web UI Load a JSON file into a BigQuery table using the CLI Transform data and join tables using the web UI Store query results in a destination table Query a destination table using the web UI to confirm your data was transformed and loaded correctly Export query results from a destination table to Google Cloud Storage Create a federated query that queries data in Cloud Storage Lab 4, Part II: Exporting App Engine Logs to BigQuery Learning Objectives Set up Google Cloud Logging to export App Engine log data from the Guestbook application Use the BigQuery web UI to query the log data Module 5: Pricing and Quotas Learning Objectives Explain the advantages of the BigQuery pricing model Use the pricing calculator to calculate storage and query costs Identify the quotas that apply to BigQuery projects Lab: BigQuery Pricing Learning Objectives Evaluate the size of a query within BigQuery using the BigQuery web UI Use the Pricing Calculator and the total size of the query to estimate the query cost Examine how changing a query affects query cost Module 6: Clauses and Functions Learning Objectives Explain the differences between BigQuery SQL and ANSI SQL Identify the purpose of and use cases for user-defined functions Explain the purpose of various BigQuery functions Lab: BigQuery Clauses and Functions Learning Objectives Create and run a query using a wildcard function Create and run a query using a window function Create and run a query using a user-defined function Module 7: Nested and Repeated Fields Learning Objectives Identify the purpose and structure of BigQuery nested, repeated, and nested repeated fields Describe the use cases for nested, repeated, and nested repeated fields Lab: Nested Fields Learning Objectives Create a BigQuery table using nested data Run queries to explore the structure of the nested data Lab: Repeated Fields Learning Objectives Create a BigQuery table using repeated data Run queries to explore the structure of the repeated data Lab: Nested Repeated Fields Create a BigQuery table using nested repeated data Run queries to explore the structure of the nested repeated data Module 8: Query Performance Learning Objectives Explain the impact of the following in query performance: JOIN and GROUP BY, table wildcards, and table decorators Identify various best practices for optimizing query performance Lab: BigQuery Best Practices and Optimization Techniques Learning Objectives Use denormalization to improve query performance Use subselects to improve the performance of queries with JOIN clauses Use destination tables to lower costs when running multiple, similar queries Use table decorators and table wildcards to improve query performance and to reduce costs Module 9: Troubleshooting Errors Learning Objectives Describe how to handle the most common BigQuery errors: request encoding errors, resource errors, and HTTP errors Lab: Handling Errors Learning Objectives Correct queries that produce syntax-related error messages Correct an error involving the order of a JOIN clause Correct an error involving an invalid table name Modify queries that exceed resource constraints Module 10: Access Control Learning Objectives Describe the purpose of access control lists in BigQuery List and explain the project and dataset roles available in BigQuery Apply views for row-level security Lab: Access Control Learning Objectives Manage access to datasets using project-level ACLs Manage access to datasets using dataset-level ACLs Set row-level permissions using views Module 11: Exporting Data Learning Objectives List the methods of exporting data from BigQuery and the data formats available Describe the process of creating a job to export data from BigQuery Explain the purpose of wildcard exports to partition export data Lab: Exporting Data Learning Objectives Export data from BigQuery using the web UI and CLI Export large tables using wildcard URIs Module 12: Interfacing with External Tools Learning Objectives Describe how to use external tools to interface with BigQuery, including: spreadsheets, ODBC and JDBC drivers, the BigQuery encrypted client, and R Lab: Interfacing with External Tools Learning Objectives Set up the BigQuery Reports add-on for Google Sheets Use the Reports add-on to query BigQuery data Module 13: Working with Google Analytics Premium Data Learning Objectives Describe the schema of the Google Analytics Premium and AdSense data exported to BigQuery Lab: Working with Google Analytics Premium Data Learning Objectives Build queries to analyze data from Google Analytics Premium Module 14: Data Visualization Learning Objectives Describe the options available for visualizing BigQuery data Lab: Visualizing Data Learning Objectives Use Google Cloud Datalab to visualize data","eventURL":"https://www.eventbrite.com/e/cpb200-google-bigquery-for-data-analysts-london-tickets-28789278507?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":0,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484125200000,"startTimeLocal":1484125200000,"endDateGMT":1484265600000,"endDateLocal":1484265600000,"endTimeGMT":1484330400000,"endTimeLocal":1484330400000,"city":"London","state":"England","country":"United Kingdom","localizedCountry":"United Kingdom","source":"eventbrite","topics":"Cloud","createdOn":"Oct 26, 2016 8:51:34 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 -  13 ","startDateString":"Jan 11","endDateString":"Jan 13","startTimeString":"9:00 AM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":136239,"organizerId":"28787703797","organizerName":"CPD200: Google Cloud Platform for Solution Developers (London)","organizerURL":"https://www.eventbrite.com/e/cpd200-google-cloud-platform-for-solution-developers-london-tickets-28787703797?aff\u003debapi","eventId":"28787703797","eventName":"CPD200: Google Cloud Platform for Solution Developers (London)","eventDescription":"Developing Solutions for Google Cloud Platform CPD200 Course Length: 3 days Course Description This 3-day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. Learning Objectives At the end of this one-day course, participants will be able to: Manage Google Cloud Source Repositories using the Google Cloud Platform Console Test an App Engine application using the App Engine SDK Access the App Engine Development Server Console Create an API using Google Cloud Endpoints Test a Cloud Endpoint API using the API Explorer Deploy an application to App Engine using the App Engine SDK Design, structure and configure an App Engine application using multiple services Create Client IDs using the Google Cloud Platform Console Secure App Engine services and Cloud Endpoints APIs using authentication Configure and upload new versions of App Engine services Integrate Google Cloud Logging into App Engine applications Review quota usage in a Google Cloud Platform project Integrate different types of storage with App Engine applications Create and implement a data model for use with Google Cloud Datastore Implement a variety of queries in Google Cloud Datastore Update the index configuration in Google Cloud Datastore Implement transactions using Google Cloud Datastore Review Google Cloud Trace reports in the Google Cloud Platform Console Integrate the Memcache API into an App Engine application to increase performance Configure, run and review the output of Google Cloud Security Scanner Configure the scaling behavior of individual App Engine Services Create App Engine handlers for Push Task Queues Send email from an App Engine application using the Mail API Schedule Tasks in App Engine using the Cron Service Update the configuration of the Cron Service Secure Task Push, and Cron Service handlers Export Google Cloud Platform data from a project Delete Google Cloud Platform projects and resources Who Should Attend This class is intended for experienced application developers who want to learn how to develop and deploy applications on Google Cloud Platform. Prerequisites Before attending this course, participants should have: Attended CP100A – Google Cloud Platform Fundamentals (or equivalent experience) Basic proficiency with command-line tools and Linux operating system environments Experience developing applications and APIs using a common programming language such as Java or Python Prior solutions development experience, either on-premises or in a public cloud environment. Modules Module 1: Developing Solutions for Google Cloud Platform Identify the advantages of Google Cloud Platform for solution development Identify services and tools available for solution development using Google Cloud Platform Compare examples of Google Cloud Platform architectures for solution development Lab: Google Cloud Source Repositories Learning Objectives Create a project for the course Use Google Cloud Shell to develop and test an application using the App Engine SDK Configure Google Cloud Source Repositories to remotely host code in Google Cloud Platform Module 2: Google Cloud Endpoints Identify Cloud Endpoints features Explain how to develop APIs using Cloud Endpoints Compare development of Cloud Endpoints APIs using Java and Python Lab: Google Cloud Endpoints Learning Objectives Review and edit Cloud Endpoints source code Deploy an application to App Engine Test a Cloud Endpoints API in the APIs Explorer Module 3: App Engine Services Explain the use cases for App Engine Services and how to use them in structuring an application Identify how to deploy and access individual App Engine services Explain how to route requests to individual services Lab: Google App Engine Services Learning Objectives Review the code for a sample application used throughout the remainder of the course Deploy multiple App Engine services to a single project Module 4: User Authentication and Credentials Compare authentication and authorization Identify options for securing App Engine applications Explain the use cases for Application Default Credentials Lab: User Authentication Learning Objectives Configure the OAuth consent screen and create a client ID Modify Conference Central to use your client ID Test Conference Central authentication Modify your admin service to require administrator rights Module 5: Managing App Engine Applications Explain the use cases for App Engine versions Identify how to access App Engine monitoring and logging services Explain the use of resource quotas and how to troubleshoot related errors Lab: Managing Google App Engine Applications Learning Objectives Review App Engine settings, quotas, instances, and logs Update App Engine services to log to Cloud Logging Deploy new versions of your default and admin services Route all traffic to a new version of the default service Module 6: Storage for Solution Developers Compare storage options for App Engine Solutions Developers Explain the purpose of, and use cases for, Google Cloud Storage Compare Cloud SQL integration with App Engine and Compute Engine Explain basic Cloud Datastore terminology and concepts, including Entity Groups Lab: Google Cloud Datastore Learning Objectives Update an existing application to save data persistently Test saving application data to Cloud Datastore List and view Cloud Datastore entities in the Google Cloud Platform Console Module 7: Queries and Indexes Identify available query filters for Cloud Datastore Compare single-property, and composite indexes in Cloud Datastore Configure and optimize indexes for Cloud Datastore Lab: Google Cloud Datastore Queries and Indexes Learning Objectives Add support for querying entities by kind and ancestor Add query filters to Cloud Datastore searches Update an index configuration to support composite indexes Module 8: Entity Groups, Consistency, and Transactions Identify the steps of a Cloud Datastore write Compare strong and eventual consistency in Cloud Datastore Identify how to achieve strongly consistent queries Identify best practices for Cloud Datastore transactions Lab: Google Cloud Datastore Transactions Learning Objectives Add support for using Cloud Datastore transactions to an application Add a Cloud Endpoint API method to view data from a different service Module 9: App Engine Performance and Optimization Identify Memcache types, use cases, and implementation patterns Compare available scaling behaviors for application services Configure application scaling for individual services Lab: Google App Engine Performance and Optimization Learning Objectives Review Cloud Trace reports for an application Configure and run a security scan for an application Update an application to make use of memcache Configure and test application scaling for application services Module 10: Task Queues Compare Push and Pull Queues Explain how to schedule tasks with the Cron Service Configure and securing Push and Pull Queues, as well as the Cron Service Lab: Task Queue API Learning Objectives Add a task handler to send an email using the Mail API Add a Cron Service handler and configuration to an existing application Lab: Deleting Google Cloud Platform Projects and Resources Learning Objectives Export Google Cloud Platform data from a project Delete Google Cloud Platform resources Shut down a Google Cloud Platform project","eventURL":"https://www.eventbrite.com/e/cpd200-google-cloud-platform-for-solution-developers-london-tickets-28787703797?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":0,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484125200000,"startTimeLocal":1484125200000,"endDateGMT":1484265600000,"endDateLocal":1484265600000,"endTimeGMT":1484330400000,"endTimeLocal":1484330400000,"city":"London","country":"United Kingdom","localizedCountry":"United Kingdom","source":"eventbrite","topics":"Cloud,Developer","createdOn":"Oct 26, 2016 8:51:34 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 -  13 ","startDateString":"Jan 11","endDateString":"Jan 13","startTimeString":"9:00 AM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173484,"organizerId":"28787703797","organizerName":"CPD200: Developing Solutions for Google Cloud Platform (London)","organizerURL":"https://www.eventbrite.com/e/cpd200-developing-solutions-for-google-cloud-platform-london-tickets-28787703797?aff\u003debapi","eventId":"28787703797","eventName":"CPD200: Developing Solutions for Google Cloud Platform (London)","eventDescription":"Developing Solutions for Google Cloud Platform CPD200 Course Length: 3 days Course Description This 3-day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. Learning Objectives At the end of this one-day course, participants will be able to: Manage Google Cloud Source Repositories using the Google Cloud Platform Console Test an App Engine application using the App Engine SDK Access the App Engine Development Server Console Create an API using Google Cloud Endpoints Test a Cloud Endpoint API using the API Explorer Deploy an application to App Engine using the App Engine SDK Design, structure and configure an App Engine application using multiple services Create Client IDs using the Google Cloud Platform Console Secure App Engine services and Cloud Endpoints APIs using authentication Configure and upload new versions of App Engine services Integrate Google Cloud Logging into App Engine applications Review quota usage in a Google Cloud Platform project Integrate different types of storage with App Engine applications Create and implement a data model for use with Google Cloud Datastore Implement a variety of queries in Google Cloud Datastore Update the index configuration in Google Cloud Datastore Implement transactions using Google Cloud Datastore Review Google Cloud Trace reports in the Google Cloud Platform Console Integrate the Memcache API into an App Engine application to increase performance Configure, run and review the output of Google Cloud Security Scanner Configure the scaling behavior of individual App Engine Services Create App Engine handlers for Push Task Queues Send email from an App Engine application using the Mail API Schedule Tasks in App Engine using the Cron Service Update the configuration of the Cron Service Secure Task Push, and Cron Service handlers Export Google Cloud Platform data from a project Delete Google Cloud Platform projects and resources Who Should Attend This class is intended for experienced application developers who want to learn how to develop and deploy applications on Google Cloud Platform. Prerequisites Before attending this course, participants should have: Attended CP100A – Google Cloud Platform Fundamentals (or equivalent experience) Basic proficiency with command-line tools and Linux operating system environments Experience developing applications and APIs using a common programming language such as Java or Python Prior solutions development experience, either on-premises or in a public cloud environment. Modules Module 1: Developing Solutions for Google Cloud Platform Identify the advantages of Google Cloud Platform for solution development Identify services and tools available for solution development using Google Cloud Platform Compare examples of Google Cloud Platform architectures for solution development Lab: Google Cloud Source Repositories Learning Objectives Create a project for the course Use Google Cloud Shell to develop and test an application using the App Engine SDK Configure Google Cloud Source Repositories to remotely host code in Google Cloud Platform Module 2: Google Cloud Endpoints Identify Cloud Endpoints features Explain how to develop APIs using Cloud Endpoints Compare development of Cloud Endpoints APIs using Java and Python Lab: Google Cloud Endpoints Learning Objectives Review and edit Cloud Endpoints source code Deploy an application to App Engine Test a Cloud Endpoints API in the APIs Explorer Module 3: App Engine Services Explain the use cases for App Engine Services and how to use them in structuring an application Identify how to deploy and access individual App Engine services Explain how to route requests to individual services Lab: Google App Engine Services Learning Objectives Review the code for a sample application used throughout the remainder of the course Deploy multiple App Engine services to a single project Module 4: User Authentication and Credentials Compare authentication and authorization Identify options for securing App Engine applications Explain the use cases for Application Default Credentials Lab: User Authentication Learning Objectives Configure the OAuth consent screen and create a client ID Modify Conference Central to use your client ID Test Conference Central authentication Modify your admin service to require administrator rights Module 5: Managing App Engine Applications Explain the use cases for App Engine versions Identify how to access App Engine monitoring and logging services Explain the use of resource quotas and how to troubleshoot related errors Lab: Managing Google App Engine Applications Learning Objectives Review App Engine settings, quotas, instances, and logs Update App Engine services to log to Cloud Logging Deploy new versions of your default and admin services Route all traffic to a new version of the default service Module 6: Storage for Solution Developers Compare storage options for App Engine Solutions Developers Explain the purpose of, and use cases for, Google Cloud Storage Compare Cloud SQL integration with App Engine and Compute Engine Explain basic Cloud Datastore terminology and concepts, including Entity Groups Lab: Google Cloud Datastore Learning Objectives Update an existing application to save data persistently Test saving application data to Cloud Datastore List and view Cloud Datastore entities in the Google Cloud Platform Console Module 7: Queries and Indexes Identify available query filters for Cloud Datastore Compare single-property, and composite indexes in Cloud Datastore Configure and optimize indexes for Cloud Datastore Lab: Google Cloud Datastore Queries and Indexes Learning Objectives Add support for querying entities by kind and ancestor Add query filters to Cloud Datastore searches Update an index configuration to support composite indexes Module 8: Entity Groups, Consistency, and Transactions Identify the steps of a Cloud Datastore write Compare strong and eventual consistency in Cloud Datastore Identify how to achieve strongly consistent queries Identify best practices for Cloud Datastore transactions Lab: Google Cloud Datastore Transactions Learning Objectives Add support for using Cloud Datastore transactions to an application Add a Cloud Endpoint API method to view data from a different service Module 9: App Engine Performance and Optimization Identify Memcache types, use cases, and implementation patterns Compare available scaling behaviors for application services Configure application scaling for individual services Lab: Google App Engine Performance and Optimization Learning Objectives Review Cloud Trace reports for an application Configure and run a security scan for an application Update an application to make use of memcache Configure and test application scaling for application services Module 10: Task Queues Compare Push and Pull Queues Explain how to schedule tasks with the Cron Service Configure and securing Push and Pull Queues, as well as the Cron Service Lab: Task Queue API Learning Objectives Add a task handler to send an email using the Mail API Add a Cron Service handler and configuration to an existing application Lab: Deleting Google Cloud Platform Projects and Resources Learning Objectives Export Google Cloud Platform data from a project Delete Google Cloud Platform resources Shut down a Google Cloud Platform project","eventURL":"https://www.eventbrite.com/e/cpd200-developing-solutions-for-google-cloud-platform-london-tickets-28787703797?aff\u003debapi","eventType":"Conference","attendeeCount":30,"utcOffset":0,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484125200000,"startTimeLocal":1484125200000,"endDateGMT":1484265600000,"endDateLocal":1484265600000,"endTimeGMT":1484330400000,"endTimeLocal":1484330400000,"city":"London","country":"United Kingdom","localizedCountry":"United Kingdom","source":"eventbrite","topics":"Cloud","createdOn":"Jan 2, 2017 9:03:22 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 -  13 ","startDateString":"Jan 11","endDateString":"Jan 13","startTimeString":"9:00 AM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173641,"organizerId":"30636662081","organizerName":"Free Webinar - on - Why children should learn \"Technology\"","organizerURL":"https://www.eventbrite.com/e/free-webinar-on-why-children-should-learn-technology-tickets-30636662081?aff\u003debapi","eventId":"30636662081","eventName":"Free Webinar - on - Why children should learn \"Technology\"","eventDescription":"Why is it so vital that we teach our children to code? We are already living in a world dominated by software. Your telephone calls go over software-controlled networks; your television is delivered over the internet; people don\u0027t buy maps anymore, they use the web; we all shop online.The next generation\u0027s world will be even more online and digital. Soon, your house will be controlled with software, some of your medical care will be delivered over the web and your car may even drive itself. Date: 11th January 2017 Time: 7 Pm to 8 PM Key Takeaway Why at a very young age? How we can help them acquire technical skill set? What is computational thinking? Benefits of being a technocrat? Hurry up......before the seats are full. Please RSVP here : http://axelta.com/AxWebinar.php","eventURL":"https://www.eventbrite.com/e/free-webinar-on-why-children-should-learn-technology-tickets-30636662081?aff\u003debapi","eventType":"Webinar","attendeeCount":500,"utcOffset":330,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484141400000,"startTimeLocal":1484161200000,"endDateGMT":1484092800000,"endDateLocal":1484092800000,"endTimeGMT":1484145000000,"endTimeLocal":1484164800000,"source":"eventbrite","topics":"General Tech","createdOn":"Jan 2, 2017 9:03:42 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 ","startDateString":"Jan 11","endDateString":"Jan 11","startTimeString":"7:00 PM UTC","endTimeString":"8:00 PM UTC","year":2017},{"id":24040,"organizerId":"26325659757","organizerName":"Dallas Tech Security Conference 2017","organizerURL":"https://www.eventbrite.com/e/dallas-tech-security-conference-2017-tickets-26325659757?aff\u003debapi","eventId":"26325659757","eventName":"Dallas Tech Security Conference 2017","eventDescription":"2017 Dallas Tech Security Conference This conference qualifies for CPE credits! Passes include a full lunch, entrance into the main conference room and all conference material.   Program Description:  Data Connectors will be hosting the Dallas Tech Security Conference on Wednesday, January 11. The event will start at 8:15 AM with a check-in and opening introductions before presentation sessions begin at 8:45. Between the educational sessions that go throughout the day, there will be time to visit vendor booths to obtain information regarding product and service offerings.  Event Sponsors/Vendors include: Click here for a full agenda   When you register to attend a Data Connectors vendor-sponsored conference, your event registration information is used to confirm registrations and may be used to send product information and promotional material. (Information may also be used to compile broad demographic information). As Data Connectors may disclose your event registration information to those vendors sponsoring the event, Data Connector\u0027s customer agreement with the Sponsor provides that the Sponsor (a) may use this information only to send you product information, to contact you via common methods of communication to assess your interest in its products and services, and (b) may share this information with a business partner, reseller or distributor of its products and services for the permitted marketing purposes set forth above. You should contact the Sponsor directly if you have any questions about their use of this information.","eventURL":"https://www.eventbrite.com/e/dallas-tech-security-conference-2017-tickets-26325659757?aff\u003debapi","eventType":"Conference","attendeeCount":1000,"utcOffset":-360,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484143200000,"startTimeLocal":1484121600000,"endDateGMT":1484092800000,"endDateLocal":1484092800000,"endTimeGMT":1484175600000,"endTimeLocal":1484154000000,"city":"Dallas","state":"TX","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"General Tech,Security","createdOn":"Sep 30, 2016 1:56:20 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 ","startDateString":"Jan 11","endDateString":"Jan 11","startTimeString":"8:00 AM UTC","endTimeString":"5:00 PM UTC","year":2017},{"id":136230,"organizerId":"28821486843","organizerName":"Frontiers of Artificial Intelligence","organizerURL":"https://www.eventbrite.com/e/frontiers-of-artificial-intelligence-tickets-28821486843?aff\u003debapi","eventId":"28821486843","eventName":"Frontiers of Artificial Intelligence","eventDescription":"Join world-class industrial practitioners and researchers to share the cutting-edge development of Artificial Intelligence at Frontiers of AI in Santa Clara, California.  Our topics include autonomous driving, speech-enabled personal assistants, natural language processing, computer vision, along with E-commerce and Internet of Things (IoT). This year we look into deep  learning, and how it turns into a mature technology that is changing our life with viable products. We are bringing panels of experts from various companies to share their vision and experiences.   SCHEDULE  Keynote:  Overview of Current Frontiers of Artificial Intelligence  ​Morning Session 1.   Autonomous Driving ​We are bringing a panel of industry experts from companies that are actively developing autonomous cars. Our speakers include lead engineers or researchers from Autonomous Driving teams in various companies.  Each panelist will give a presentation for 15-20 minutes, followed by 30-minute panel discussion, moderated by the session chair.  Morning Session 2. Natural Language Processing ​We are bringing a panel of industry experts and leading scientists to discuss Natural Language Processing products, including Machine Translation, Automatic Email Response, and Question Answering Systems. Our speakers include Lukasz Kaiser of Google Brain team, Fei Huang of Facebook Applied AI Lab, and more. Each panelist will give a presentation for 15-20 minutes, followed by 30-minute panel discussion, moderated by the session chair.  ​Morning Session 3. Speech-enabled Personal Assistants  ​We are bringing a panel of industry experts and leading scientists to discuss Speech-enabled Personal Assistants. Our speakers Li Deng, Chief Scientist of AI of Microsoft (Cortana), manager of Google now and more.      Each panelist will give a presentation for 15-20 minutes, followed by 30-minute panel discussion, moderated by the session chair.  ​Lunch  ​Afternoon Session 1. IoT (Internet of Things)  ​We are bringing a panel of industry experts from companies that are actively developing Connected Home and Building Technology. Our speakers include Sean Ding, Chief Scientist from Huawei, Mohak Shah, Head of Data Science from Bosch, and more.   Each panelist will give a presentation for 15-20 minutes, followed by 30-minute panel discussion, moderated by the session chair.  ​Afternoon Session 2. Computer Vision We are bringing a panel of industry experts and leading scientists to discuss the newest development in computer vision, particularly video processing. Our speakers include research scientists and engineers from Facebook, Google and other companies.  Each panelist will give a presentation for 15-20 minutes, followed by 30-minute panel discussion, moderated by the session chair.  ​Afternoon Session 3. Big Data and Machine Learning ​We are bringing a panel of industry experts from companies that handle massive amount of data with machine learning. Our speakers include Head of Data Science of Uber, and leaders of large-scale machine learning projects from other companies.  Each panelist will give a presentation for 15-20 minutes, followed by 30-minute panel discussion, moderated by the session chair.  ​Afternoon Session 4. Deep Learning Framework ​We are bringing together the founders or leaders of current deep learning  frameworks, including TensorFlow, Caffe, Torch, and Theano. Our speakers will share their view on these frameworks and the advantage of adopting their framework.  Each panelist will give a presentation for 15-20 minutes, followed by 30-minute panel discussion, moderated by the session chair.  ​Dinner banquet","eventURL":"https://www.eventbrite.com/e/frontiers-of-artificial-intelligence-tickets-28821486843?aff\u003debapi","eventType":"Conference","attendeeCount":1500,"utcOffset":-480,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484150400000,"startTimeLocal":1484121600000,"endDateGMT":1484179200000,"endDateLocal":1484092800000,"endTimeGMT":1484197200000,"endTimeLocal":1484168400000,"city":"Santa Clara","state":"CA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Artificial Intelligence","createdOn":"Oct 26, 2016 8:51:33 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 ","startDateString":"Jan 11","endDateString":"Jan 11","startTimeString":"8:00 AM UTC","endTimeString":"9:00 PM UTC","year":2017},{"id":136231,"organizerId":"28591647387","organizerName":"Modern Agile Workshop in Berkeley","organizerURL":"https://www.eventbrite.com/e/modern-agile-workshop-in-berkeley-tickets-28591647387?aff\u003debapi","eventId":"28591647387","eventName":"Modern Agile Workshop in Berkeley","eventDescription":"Much has changed since the publishing of the Agile Manifesto in 2001. Pioneers and practitioners of lean and agile methods have examined weaknesses and friction points, experimented with simpler approaches, and discovered safer, simpler and more capital-efficient processes. We call such processes modern agile. They are driven by four principles: Make People Awesome, Make Safety A Prerequisite, Experiment \u0026 Learn Rapidly and Deliver Value Continuously. Modern agile amplifies the values and practices of organizations (like Amazon, AirBnB, Google \u0026 Etsy) that have discovered better ways of getting awesome results. Modern agile is here to help you move beyond outdated agility. Are you managing a backlog without first validating user needs, cramming low-quality work in at the end of each sprint, spending time on low-value planning activities, struggling with growing technical debt, arguing about “definition of done” or frustrated that “management never gives us time to do it right”? In this 3-day workshop, you’ll learn about the essential practice of psychological safety, what it means to have a just culture, how obsessing on making people awesome is far better than worrying about competitors, how to build a culture of experimentation and learning and the art of delivering value continuously. You’ll also get ideas for how to modernize your current processes.","eventURL":"https://www.eventbrite.com/e/modern-agile-workshop-in-berkeley-tickets-28591647387?aff\u003debapi","eventType":"Conference","attendeeCount":40,"utcOffset":-480,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484150400000,"startTimeLocal":1484121600000,"endDateGMT":1484352000000,"endDateLocal":1484265600000,"endTimeGMT":1484352000000,"endTimeLocal":1484323200000,"city":"Berkeley","state":"CA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Developer","createdOn":"Oct 26, 2016 8:51:34 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 -  13 ","startDateString":"Jan 11","endDateString":"Jan 13","startTimeString":"8:00 AM UTC","endTimeString":"4:00 PM UTC","year":2017},{"id":173561,"organizerId":"26441120102","organizerName":"Percorso Stella - Codemotion Kids Milano (gennaio - maggio)","organizerURL":"https://www.eventbrite.it/e/biglietti-percorso-stella-codemotion-kids-milano-gennaio-maggio-26441120102?aff\u003debapi","eventId":"26441120102","eventName":"Percorso Stella - Codemotion Kids Milano (gennaio - maggio)","eventDescription":"Percorso Stella (11-13 anni) Di media complessità, il corso si rivolge a ragazzi e ragazze di età compresa tra 11 e 13 anni. I giovani esploratori del digitale consolideranno i concetti sviluppati sul Pianeta e si avvicineranno a tecnologie più complesse, sviluppando e applicando concetti di programmazione: variabili, condizioni, operatori logici. SCONTO EARLY BIRD FINO AL 22 DICEMBRE: €500 anziché €560! Periodo: gennaio 2017 - maggio 2017 (16 lezioni)Classi: mercoledìInizio corso: 11 gennaio 2017 Orario: 17:00-18:45Fascia d’età: 11-13 anniDove: via di Santa Marta -  18, presso The FabLab Numero massimo partecipanti a classe: 14 Per maggiori informazioni: http://codemotionkids.com All\u0027iscrizione seguirà, entro 30 giorni, l\u0027emissione di una ricevuta fiscale. Nel caso in cui si necessiti di fattura, inoltrare la richiesta a: amministrazione@codemotion.it","eventURL":"https://www.eventbrite.it/e/biglietti-percorso-stella-codemotion-kids-milano-gennaio-maggio-26441120102?aff\u003debapi","eventType":"Conference","attendeeCount":46,"utcOffset":60,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484150400000,"startTimeLocal":1484154000000,"endDateGMT":1494374400000,"endDateLocal":1494374400000,"endTimeGMT":1494434700000,"endTimeLocal":1494438300000,"city":"Milano","state":"Lombardia","country":"Italy","localizedCountry":"Italy","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:03:33 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 - May 10 ","startDateString":"Jan 11","endDateString":"May 10","startTimeString":"5:00 PM UTC","endTimeString":"5:45 PM UTC","year":2017},{"id":173563,"organizerId":"26116875277","organizerName":"Codemotion Kids - Percorso Stella Roma (gennaio - aprile)","organizerURL":"https://www.eventbrite.it/e/biglietti-codemotion-kids-percorso-stella-roma-gennaio-aprile-26116875277?aff\u003debapi","eventId":"26116875277","eventName":"Codemotion Kids - Percorso Stella Roma (gennaio - aprile)","eventDescription":"Codemotion Kids - La Scuola Percorso Stella (11-13 anni) Di media complessità, il corso si rivolge a ragazzi e ragazze di età compresa tra 11 e 13 anni. I giovani esploratori del digitale consolideranno i concetti sviluppati sul Pianeta e si avvicineranno a tecnologie più complesse, sviluppando e applicando concetti di programmazione: variabili, condizioni, operatori logici. Disponibile in due giornate: mercoledì o giovedì. SCONTO EARLY BIRD FINO AL 22 DICEMBRE: €500 anziché €560! Periodo: gennaio 2017 - aprile 2017 (14 lezioni)Classi: mercoledì o giovedìInizio corso: 11 gennaio 2017 (classe del mercoledì); 12 gennaio 2017 (classe del giovedì)Orario: 17:15-19:00Fascia d’età: 11-13 anniDove: Via Marsala 29 H, presso Luiss Enlabs,Termini Per maggiori informazioni: http://www.codemotionkids.com All\u0027iscrizione seguirà, entro 30 giorni, l\u0027emissione di una ricevuta fiscale. Nel caso in cui si necessiti di fattura, inoltrare la richiesta a: amministrazione@codemotion.it","eventURL":"https://www.eventbrite.it/e/biglietti-codemotion-kids-percorso-stella-roma-gennaio-aprile-26116875277?aff\u003debapi","eventType":"Conference","attendeeCount":48,"utcOffset":60,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484151300000,"startTimeLocal":1484154900000,"endDateGMT":1492560000000,"endDateLocal":1492560000000,"endTimeGMT":1492621200000,"endTimeLocal":1492624800000,"city":"Roma","state":"Lazio","country":"Italy","localizedCountry":"Italy","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:03:33 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 - Apr 19 ","startDateString":"Jan 11","endDateString":"Apr 19","startTimeString":"5:15 PM UTC","endTimeString":"6:00 PM UTC","year":2017},{"id":173576,"organizerId":"27328673799","organizerName":"Percorso Pianeta - Codemotion Kids Verona (gennaio - maggio)","organizerURL":"https://www.eventbrite.it/e/biglietti-percorso-pianeta-codemotion-kids-verona-gennaio-maggio-27328673799?aff\u003debapi","eventId":"27328673799","eventName":"Percorso Pianeta - Codemotion Kids Verona (gennaio - maggio)","eventDescription":"Percorso Pianeta (8 - 10 anni) Pensato per i più piccoli, il corso si rivolge ai bambini di età compresa tra 8 e 10 anni. I piccoli apprendisti inizieranno a scoprire il mondo familiarizzando con le tecnologie, con i concetti base di logica e spazio e con i rudimenti di programmazione. Le attività sono essenzialmente ludiche e improntate sulla creatività. SCONTO EARLY BIRD FINO AL 22 DICEMBRE: €500 anziché €560! Periodo:gennaio 2017 - maggio 2017 (16 lezioni)Classi: mercoledìInizio corso: 11 gennaio 2017Orario: 17:30-19:15Fascia d’età: 8-10 anniDove: Via Legnago, 126 (presso Graffiti Hub) Numero massimo partecipanti a classe: 14 La classe partirà solo a raggiungimento del numero minimo di iscritti. Per maggiori informazioni: http://codemotionkids.com All\u0027iscrizione seguirà, entro 30 giorni, l\u0027emissione di una ricevuta fiscale. Nel caso in cui si necessiti di fattura, inoltrare la richiesta a: amministrazione@codemotion.it","eventURL":"https://www.eventbrite.it/e/biglietti-percorso-pianeta-codemotion-kids-verona-gennaio-maggio-27328673799?aff\u003debapi","eventType":"Conference","attendeeCount":46,"utcOffset":60,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484152200000,"startTimeLocal":1484155800000,"endDateGMT":1493769600000,"endDateLocal":1493769600000,"endTimeGMT":1493831700000,"endTimeLocal":1493835300000,"city":"Verona","state":"Veneto","country":"Italy","localizedCountry":"Italy","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:03:34 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 - May 3 ","startDateString":"Jan 11","endDateString":"May 3","startTimeString":"5:30 PM UTC","endTimeString":"6:15 PM UTC","year":2017},{"id":173577,"organizerId":"27329642697","organizerName":"Percorso Stella - Codemotion Kids Bologna (gennaio - maggio)","organizerURL":"https://www.eventbrite.it/e/biglietti-percorso-stella-codemotion-kids-bologna-gennaio-maggio-27329642697?aff\u003debapi","eventId":"27329642697","eventName":"Percorso Stella - Codemotion Kids Bologna (gennaio - maggio)","eventDescription":"Percorso Stella (11-13 anni) Di media complessità, il corso si rivolge a ragazzi e ragazze di età compresa tra 11 e 13 anni. I giovani esploratori del digitale consolideranno i concetti sviluppati sul Pianeta e si avvicineranno a tecnologie più complesse, sviluppando e applicando concetti di programmazione: variabili, condizioni, operatori logici. SCONTO EARLY BIRD FINO AL 22 DICEMBRE: €500 anziché €560! Periodo: gennaio 2017 - maggio 2017 (16 lezioni)Classi: mercoledìInizio corso: 11 gennaio 2017Orario: 17:30-19:15Fascia d’età: 11-13 anniDove: Via Guglielmo Oberdan, 22 (presso TIM #WCAP) Numero massimo partecipanti a classe: 14 Per maggiori informazioni: http://codemotionkids.com All\u0027iscrizione seguirà, entro 30 giorni, l\u0027emissione di una ricevuta fiscale. Nel caso in cui si necessiti di fattura, inoltrare la richiesta a: amministrazione@codemotion.it","eventURL":"https://www.eventbrite.it/e/biglietti-percorso-stella-codemotion-kids-bologna-gennaio-maggio-27329642697?aff\u003debapi","eventType":"Conference","attendeeCount":42,"utcOffset":60,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484152200000,"startTimeLocal":1484155800000,"endDateGMT":1493769600000,"endDateLocal":1493769600000,"endTimeGMT":1493831700000,"endTimeLocal":1493835300000,"city":"Bologna","state":"Emilia-Romagna","country":"Italy","localizedCountry":"Italy","source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:03:34 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 - May 3 ","startDateString":"Jan 11","endDateString":"May 3","startTimeString":"5:30 PM UTC","endTimeString":"6:15 PM UTC","year":2017},{"id":157147,"organizerId":"28821486843","organizerName":"AI Frontiers Conference","organizerURL":"https://www.eventbrite.com/e/ai-frontiers-conference-tickets-28821486843?aff\u003debapi","eventId":"28821486843","eventName":"AI Frontiers Conference","eventDescription":"In this two-day conference (www.aifrontiers.com) during Jan 11-12 at Santa Clara, we are bringing the leaders in Applied AI from companies to share with you the latest advances in deep learning product. You will have opportunity to build your first deep learning models through our training session, and network with companies and other professionals recruiting for engineers \u0026 data scientists in this space.  Ticket description:  2-day talks: Day 1 program + day 2 presentationTraining pass include: Day 1 program + Day 2 TrainingBusiness pass include: All access for both days (including banquet, training,startup demo, etc). If you are a student, please use this code: d200student to get student discount.  If you have any question, please contact info@aifrontiers.com SCHEDULE Day 1 Keynote:  Current Frontiers of AI: Trends and Developments In Deep Learning Research                                                                                                                                     Jeff Dean, Senior Fellow Google ​Morning Session 1.   Autonomous Driving A panel of industry experts from companies that are actively developing autonomous cars come together to discuss their work. Our speakers include Zhaoyin Jia, tech lead of Google Self Driving, Junli Gu, Machine Learning Lead of Tesla Autopilot, and Tony Han, Director of Baidu Autonomous Driving Unit. Each panelist will give a presentation for 20 minutes, followed by 20-minute panel discussion, moderated by the session chair. ​Morning Session 2. Speech-enabled Personal Assistants  A panel of industry experts and leading scientists on Speech-enabled Personal Assistants come together to discuss their work. Our speakers include Li Deng, Chief Scientist of AI of Microsoft, Adam Coates, Director of AI lab of Baidu, and manager of Amazon Alexa team. ​Morning Session 3. Natural Language Processing Our speaker Lukasz Kaiser, Senior Research Scientist of Google Brain will talk about Natural Language Processing (NLP) products, including Machine Translation, Automatic Email Response, and Question Answering Systems and more. ​Afternoon Session 1. IoT (Internet of Things)  A panel of industry experts from companies that are actively developing Connected Home and Building Technology discuss their work. Our speakers include Sean Ding, Chief Scientist from Huawei, Mohak Shah, Head of Data Science from Bosch, and more. ​Afternoon Session 2. Computer Vision A panel of industry experts and leading scientists discuss the newest development in computer vision, including photo and video processing. Our speakers include Gary Bradski, Founder of OpenCV, Liu Ren, Chief Scientist of Bosch, and Shinko Cheng of Google Photo. ​Afternoon Session 3. Deep Learning Framework Leaders of current deep learning frameworks, including TensorFlow, Torch, Caffe and MXNet, come together to share insights on their frameworks. Our speaker include Rajat Monga, TensorFlow Leader and Engineering Director of Google, Yangqing Jia, Creator of Caffe, research scientist of Facebook Alexa Smola, MXNet leader and Director of Machine Learning at Amazon Soumith Chintala, maintainer of Torch project at Facebook ​Each panelist will give a presentation for 20 minutes Dinner and AI Startup Pitch Competition Join our AI Startup Pitch Competition and get funding by top investors.​ Enjoy the dinner and network with AI entrepreneurs, startups, investors and experts. SCHEDULE Day 2 4-hour Tutorial on MXNet by Amazon team      By Mu Li, Alex Smola, Joe Spisak, -- Amazon Module 1: Background on Deep Learning Module 2: Walkthrough on Setting up AMIs, CloudFormation Templates and other Deep Learning Frameworks on AWS Module 3: A Peek Under the MXNet Hood (MXNet Internals)   Module 4: Hands on with MXNet: NDArrays, Symbols, And Mechanics of Training Deep Neural Networks Module 5: Hands on with MXNet: Application Examples Targeting Compute Vision and Recommendation Engines 4-hour Tutorial on TensorFlow by Google team Instructor: Apoorv Saxena Introduction to TensorFlow and its applications in different areas, from image processing to natural language processing. For More Information, Please visit  AI Frontiers Conference Website Ticket description:  Technical program: Day 1 program + day 2 presentationTraining pass include: Day 1 program + Day 2 TrainingBusiness pass include: All access for both days (including banquet, training,startup demo, etc). If you have any question, please contact info@aifrontiers.com Cancellation Policy: Due to the closeness of the conference, we do not offer refund; however, ticket transfering is allowed. ","eventURL":"https://www.eventbrite.com/e/ai-frontiers-conference-tickets-28821486843?aff\u003debapi","eventType":"Conference","attendeeCount":1600,"utcOffset":-480,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484152200000,"startTimeLocal":1484123400000,"endDateGMT":1484265600000,"endDateLocal":1484179200000,"endTimeGMT":1484269200000,"endTimeLocal":1484240400000,"city":"Santa Clara","state":"CA","country":"United States","localizedCountry":"United States","source":"eventbrite","topics":"Artificial Intelligence","createdOn":"Nov 22, 2016 12:50:00 AM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 -  12 ","startDateString":"Jan 11","endDateString":"Jan 12","startTimeString":"8:30 AM UTC","endTimeString":"5:00 PM UTC","year":2017},{"id":173502,"organizerId":"30664758117","organizerName":"Risk Based Design Control Meeting FDA And ISO Criteria","organizerURL":"https://www.eventbrite.com/e/risk-based-design-control-meeting-fda-and-iso-criteria-tickets-30664758117?aff\u003debapi","eventId":"30664758117","eventName":"Risk Based Design Control Meeting FDA And ISO Criteria","eventDescription":" 11th January 2017, Wednesday    01:00 PM EST 10:00 AM PST (60 Minutes)            write a review This course will explain how to manage a design program that will meet FDA and ISO requirements and minimize chances of your medical device being recalled. Such a program will also help to get projects completed on time and within budget. The important and confusing question of when, in a development process, Design Control begins will be answered. The difference between pre release and post release change control will be explained. The Design History File will be explained and a contents checklist discussed. The interrelationship between ongoing risk analysis and the design process will be explained. Areas Covered in the webinar: • Reasons for design control • When design control begins • Elements of a design control program • How risk managements fits into design control • Change control • Understanding  validation consists of  more than testing • Design History File Why should you attend? Designing a medical device and testing it to prove it works is not sufficient in the eyes of the FDA to provide a safe product for users. The FDA has determined, through analysis of product recall data, that the majority of recalls were due to a faulty design process, not faulty manufacturing. These recalled products were tested before release and later failed in unanticipated ways that were not considered in the design and testing process. FDA also concluded that a well controlled design process with risk analysis, change control, design reviews, hardware/ software validation and feedback of the risk analysis results into the design process will greatly reduce chances of an unsafe product. Who can Benefit? Development Engineers Development Management QA/ QC personnel Software developers   Instructor Profile: Ed retired from industry after 30 years in management of development of medical device products and development of company Quality Systems. Products included IVD devices, kidney dialysis systems and inhalation devices. QS experience includes design control, risk analysis, CAPA, software validation, supplier qualification/ control and manufacturing/ non-conforming product programs. Ed has a B.S. Mechanical Engineering from NYU and a M.B.A from Drexel University. He is certified by Lloyds of London as an ISO 9000 Lead Auditor and is a member of the Thomson Reuters Expert Witness network. He has 5 issued patents. Refund Policy Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. 247Compliance would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange.Webinar may be cancelled due to lack of enrollment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.If you have any concern about the content of the webinar and not satisfied please contact us at below email or by call mentioning your feedback for resolution of the matter.We respect feedback/opinions of our customers which enables us to improve our products and services. To contact us please email webinar@247compliance.com call +1-518-533-4883.","eventURL":"https://www.eventbrite.com/e/risk-based-design-control-meeting-fda-and-iso-criteria-tickets-30664758117?aff\u003debapi","eventType":"Webinar","attendeeCount":400,"utcOffset":-480,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484157600000,"startTimeLocal":1484128800000,"endDateGMT":1484092800000,"endDateLocal":1484092800000,"endTimeGMT":1484161200000,"endTimeLocal":1484132400000,"source":"eventbrite","topics":"Design","createdOn":"Jan 2, 2017 9:03:24 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 ","startDateString":"Jan 11","endDateString":"Jan 11","startTimeString":"10:00 AM UTC","endTimeString":"11:00 AM UTC","year":2017},{"id":173504,"organizerId":"30485546089","organizerName":"WEBINAR: Why and How to Choose an IoT Platform","organizerURL":"https://www.eventbrite.com/e/webinar-why-and-how-to-choose-an-iot-platform-tickets-30485546089?aff\u003debapi","eventId":"30485546089","eventName":"WEBINAR: Why and How to Choose an IoT Platform","eventDescription":"Why join the Webinar: The Internet of Things heralds an era of enormous potential that will impact value chains business models, and create a new paradigm of connectivity. New ecosystems and partnerships will be established, and new complexities will need to be overcome. Businesses will need new levels of efficiencies and automation to realize the new opportunities lying before them. As a result, we are witnessing the emergence of new IoT platforms, development, and solutions. But not all IoT Platforms are created equal, and in fact can be vastly different. In this session, Omar Nawaz of Rouge Group will discuss why IoT platforms are important. He will cover their components and their potential value in overall IoT adoption and strategies. Omar will provide a comparison and a decision checklist to facilitate selecting the best platform–based on your industry, applications, and/or solutions. You will learn: How to choose an IoT Platform that fits your industry How does Predix compare among other IoT Platforms How to avoid challenges when adopting an IoT Platform Who Should Attend: This webinar will be of interest to anyone involved with IoT planning and adoption in Retail, Manufacturing, Healthcare, Government/Public Services, Telecommunications, Field Service, Utilities, Engineering, Consumer Electronics, and Business Services. Relevant titles include: C-level executives Senior leadership and Head of line of businesses IT Management, Architects, and Managers Entrepreneurs and Investors Speaker Bio: Omar Nawaz is the Founder and President of Rouge Group, a management consulting firm that provides business strategy, innovation, product management, and strategic and technical alliance services to late-stage startups, enterprises and global service providers. Previously, he was the Executive Vice President at Zaytuna College, first of its kind Liberal Arts College in Berkeley, CA. As part of the founding team, he was responsible for the development, operations, and finance of the college during its formative years.Prior to Zaytuna, Omar was the founder and CEO at MobiZim, a parental controls and personal cloud-based content management service for smartphones. Earlier, Omar held senior technical and management roles at Microsoft and Cisco, where he led definition and development of products in emerging technologies to create new markets and successfully build several $100-million businesses. Omar holds an MBA and a Master’s degree in Engineering Management from San Jose State University and a Bachelor’s degree in Electrical Engineering from the University of Utah.","eventURL":"https://www.eventbrite.com/e/webinar-why-and-how-to-choose-an-iot-platform-tickets-30485546089?aff\u003debapi","eventType":"Webinar","attendeeCount":200,"utcOffset":-480,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484157600000,"startTimeLocal":1484128800000,"endDateGMT":1484092800000,"endDateLocal":1484092800000,"endTimeGMT":1484161200000,"endTimeLocal":1484132400000,"source":"eventbrite","topics":"IoT","createdOn":"Jan 2, 2017 9:03:24 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 ","startDateString":"Jan 11","endDateString":"Jan 11","startTimeString":"10:00 AM UTC","endTimeString":"11:00 AM UTC","year":2017},{"id":173530,"organizerId":"29807419795","organizerName":"Speak With Authority: The CIA Technique","organizerURL":"https://www.eventbrite.com/e/speak-with-authority-the-cia-technique-tickets-29807419795?aff\u003debapi","eventId":"29807419795","eventName":"Speak With Authority: The CIA Technique","eventDescription":"  Speak With Authority: The CIA Technique    January 11th, 2017 1:00pm - 2:00pm EST   Description: Are you interviewed often by editors, bloggers and other writers – but rarely quoted in their articles? Next time, gather some intelligence before you start talking to the media. During this media coaching webinar, you’ll learn the “CIA Technique,” a simple 3-step technique for preparing for interviews with the media and other business influencers. We’ll walk you through the process of… 1. Creating dissonance, 2. Impressing with numbers, 3. Analyzing those numbers… …to increase the likelihood of being quoted in articles, blogs and tweets. We believe every person and every business has good stories about their personal and professional brands. We’ll help you tell them so that others listen.       Presenter: Bob Dirkes runs a communications consultancy, which means his team helps companies solve problems with messaging and content that isn’t supporting their business strategies and objectives. During his 25 year career, he has played senior communications roles in corporations and agencies, helping colleagues and clients at organizations large and small tell the stories that drive their enterprise.        ","eventURL":"https://www.eventbrite.com/e/speak-with-authority-the-cia-technique-tickets-29807419795?aff\u003debapi","eventType":"Webinar","attendeeCount":500,"utcOffset":-300,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484157600000,"startTimeLocal":1484139600000,"endDateGMT":1484092800000,"endDateLocal":1484092800000,"endTimeGMT":1484161200000,"endTimeLocal":1484143200000,"source":"eventbrite","topics":"General Tech","createdOn":"Jan 2, 2017 9:03:28 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 ","startDateString":"Jan 11","endDateString":"Jan 11","startTimeString":"1:00 PM UTC","endTimeString":"2:00 PM UTC","year":2017},{"id":173595,"organizerId":"30336976714","organizerName":"Fullstack Academy Information Session (Online Campus)","organizerURL":"https://www.eventbrite.com/e/fullstack-academy-information-session-online-campus-tickets-30336976714?aff\u003debapi","eventId":"30336976714","eventName":"Fullstack Academy Information Session (Online Campus)","eventDescription":"Calling all tech and web enthusiasts! Are you interested in learning how to code, especially in JavaScript? Are looking to take your skills and knowledge to the next level? Have you tried learning to code on you own, but feel that you need more content and structure? Fullstack Academy has you covered. Join us for a free online information session about the awesome courses we provide, our community and advice on how to get started on the road to becoming a developer.  Some topics of discussion will be:  • Why we teach JavaScript.  • How to get started on the Road to Code.  • Details on our live and remote immersive courses • What you will get out of the Fullstack Experience.  More information on access links and event logistics will be contained in the eventbrite confirmation receipt. -The Fullstack Team","eventURL":"https://www.eventbrite.com/e/fullstack-academy-information-session-online-campus-tickets-30336976714?aff\u003debapi","eventType":"Webinar","attendeeCount":250,"utcOffset":-300,"startDateGMT":1484092800000,"startDateLocal":1484092800000,"startTimeGMT":1484175600000,"startTimeLocal":1484157600000,"endDateGMT":1484179200000,"endDateLocal":1484092800000,"endTimeGMT":1484179200000,"endTimeLocal":1484161200000,"source":"eventbrite","topics":"Developer","createdOn":"Jan 2, 2017 9:03:36 PM","status":"active","monthString":"Jan 2017","periodString":"Jan 11 ","startDateString":"Jan 11","endDateString":"Jan 11","startTimeString":"6:00 PM UTC","endTimeString":"7:00 PM UTC","year":2017}];