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Data Warehousing with Hadoop: Managing Big Data Using HDInsight Hadoop

Data Warehousing with Hadoop: Managing Big Data Using HDInsight Hadoop


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore the fundamentals of Azure HDInsight and the essential architectural components.



Expected Duration (hours)
1.1

Lesson Objectives

Data Warehousing with Hadoop: Managing Big Data Using HDInsight Hadoop

  • 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
  • Course Number:
    it_dfdwha_01_enus

    Expertise Level
    Intermediate