• Online, Self-Paced
Course Description

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

Learning 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 PowerShell to 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

 

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Data Administration
  • Systems Administration