Managing Big Data Using HDInsight Hadoop

Apache Hadoop 2.7    |    Intermediate
  • 12 videos | 1h 5m 19s
  • Includes Assessment
  • Earns a Badge
Likes 7 Likes 7
Explore the fundamentals of Azure HDInsight and the essential architectural components.

WHAT YOU WILL LEARN

  • recognize the critical features provided by HDInsight to manage big data
    list the various essential types of cluster that we can implement with HDInsight
    recall the various open source components of HDInsight and their roles in managing cluster, data, and jobs
    demonstrate how to set up Hadoop clusters on Azure HDInsight
    create Hadoop HDInsight clusters using the Azure Resource Manager template
    specify the essential capabilities of HDInsight and the various types of storages that we can provision to store data
  • illustrate the critical capabilities afforded by the Azure Management Console
    create, manage, and monitor HDInsight clusters using the Azure Management Console
    set up the HDInsight Emulator and use PowerShellto execute essential commands
    identify the various approaches of programming in HDInsight
    develop and execute MapReduce programs using cmdlet and Hadoop streaming
    set up Hadoop clusters on HDInsight and execute MapReduce applications

IN THIS COURSE

  • 6m 37s
  • 5m 25s
  • Locked
    3.  Essential Opensource Components of HDInsight
    4m 49s
  • Locked
    4.  Setting Up Hadoop Clusters on Azure HDInsight
    7m 18s
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    5.  HDInsight Clusters with Resource Manager Template
    4m 49s
  • Locked
    6.  HDInsight Services and Storage Types
    4m 53s
  • Locked
    7.  Azure Management Console
    3m 5s
  • Locked
    8.  Creating and Managing HDInsight Clusters
    5m 19s
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    9.  Setting Up HDInsight Emulator
    6m 21s
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    10.  Programming in HDInsight
    5m 24s
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    11.  Developing and Executing MapReduce Program
    5m 12s
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    12.  Exercise: Working with HDInsight and MapReduce
    6m 9s

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