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

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