Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself: Big Data, Hadoop, and Microsoft Azure for Better Business Intelligence

Overview

With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to provision, configure, monitor, troubleshoot, and use HDInsight, even if you're new to big data analytics. Each short, easy lesson builds on all that's come before: ...

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Overview

With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to provision, configure, monitor, troubleshoot, and use HDInsight, even if you're new to big data analytics. Each short, easy lesson builds on all that's come before: you'll learn all of HDInsight's essentials as you solve real data analytics problems. Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours covers all this, and much more:

  • Understanding the NoSQL, Big Data, and Hadoop/HDInsight business value proposition
  • Using HDInsight with Microsoft BI and Power BI to simplify data integration, analysis, and reporting
  • Quickly installing, configuring, and monitoring Hadoop (HDInsight) clusters in the cloud
  • Managing the distributed storage and processing of unstructured data or big data
  • Understanding Hadoop's architecture, ecosystem, and technology Stack
  • Learning how Microsoft's HDInsight service builds on and extends Hadoop
  • Provisioning HDInsight Service Clusters and automating cluster provisioning
  • Using the Windows Azure HDInsight Emulator
  • Doing big data analytics with MapReduce, Hive, and PIG
  • Using Sqoop or SSIS (SQL Server Integration Services) to move data to/from HDInsight
  • Administering HDInsight from the Hadoop command prompt or Microsoft PowerShell
  • Troubleshooting cluster deployments and job failures
  • Performing state-of-the-art Sentiment Analysis with StreamInsight and HDInsight service
  • Getting to know Hadoop 2.0 and the innovations it provides

Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid problems. By the time you're finished, you'll be comfortable going beyond the book to create any HDInsight app you can imagine!

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Product Details

Table of Contents

1. Introduction of NoSQL, Big Data, Hadoop and Business Value Proposition
2. Hadoop Architecture, Ecosystem and Technology Stack
3. Hadoop Distributed File System (HDFS)
4. MapReduce Job Framework
5. Introducing Microsoft Windows Azure
6. Provisioning Your HDInsight Service Cluster, Automating HDInsight Cluster Provisioning
7. Exploring the HDInsight Name Node, Seconday Name Node and Data Nodes
8. Storing data in Windows Azure Blob Storage (WABS) vs HDFS
9. Using Windows Azure HDInsight Emulator
10. Programming MapReduce jobs (Mapper, Reducer and Driver)
11. Configuring and executing MapReduce jobs to Your HDInsight Cluster
12. Getting started with Hive
13. Creating Table, Views, Indexes and Loading Data
14. Accessing HDInsight over Hive and ODBC
15. Consuming HDInsight from Microsoft BI Tools
16. Integrating HDInsight with SQL Server Integration Services
17. Introducing PIG (Pig Latin and Runtime)
18. Writing PIG Queries for Loading, Filtering, Grouping, Combining Storing Etc.
19. Introducing and using Sqoop for Data Movement Between RDBMS (SQL Server) and HDInsight
20. Introducing and Using SSIS (SQL Server Integration Services) for Data Movement Between RDBMS (SQL Server) and HDInsight
21. Understand the different HDInsight Services and Configuration Files
22. Administer and Manage HDInsight Using Hadoop Command Prompt
23. Administer and Manage HDInsight Using Powershell
24. Logging in HDInsight
25. Troubleshooting Cluster Deployments, Troubleshooting Job Failures
26. Case Study - Sentiment Analysis with StreamInsight and HDInsight service
27. Hadoop 2.0 - What's New
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