Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself by Manpreet Singh
English | November 18, 2015 | ISBN: 0672337274 | 588 pages | AZW3 | 37 Mb
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:
Introduction of Big Data, NoSQL systems, its Business Value Proposition and use cases examplesIntroduction to Hadoop, Architecture, Ecosystem and Microsoft HDInsightGetting to know Hadoop 2.0 and the innovations it provides like HDFS2 and YARNQuickly installing, configuring, and monitoring Hadoop (HDInsight) clusters in the cloud and automating cluster provisioningCustomize the HDInsight cluster and install additional Hadoop ecosystem projects using Script ActionsAdministering HDInsight from the Hadoop command prompt or Microsoft PowerShellUsing the Microsoft Azure HDInsight Emulator for learning or developmentUnderstanding HDFS, HDFS vs. Azure Blob Storage, MapReduce Job Framework and Job Execution PipelineDoing big data analytics with MapReduce, writing your MapReduce programs in your choice of .NET programming language such as C#Using Hive for big data analytics, demonstrate end to end scenario and how Apache Tez improves the performance several foldsConsuming HDInsight data from Microsoft BI Tools over Hive ODBC Driver - Using HDInsight with Microsoft BI and Power BI to simplify data integration, analysis, and reportingUsing PIG for big data transformation workflows step by stepApache HBase on HDInsight, its architecture, data model, HBase vs. Hive, programmatically managing HBase data with C# and Apache PhoenixUsing Sqoop or SSIS (SQL Server Integration Services) to move data to/from HDInsight and build data integration workflows for transferring dataUsing Oozie for scheduling, co-ordination and managing data processing workflows in HDInsight clusterUsing R programming language with HDInsight for performing statistical computing on Big Data setsUsing Apache Spark's in-memory computation model to run big data analytics up to 100 times faster than Hadoop MapReducePerform real-time Stream Analytics on high-velocity big data streams with StormIntegration of Enterprise Data Warehouse with Hadoop and Microsoft Analytics Platform System (APS), formally known as SQL Server Parallel Data Warehouse (PDW) 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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