Working with HDInsight Clusters


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description
In this course you will learn about administering, provisioning, and configuring HDInsight clusters. It is one in a series of courses that prepares learners for exam 70-775: Perform Data Engineering on Microsoft Azure HDInsight.

Target Audience
IT professionals who implement and work with big data analytics and engineering workflows and use open-source technologies; IT professionals preparing for Microsoft exam 70-775

Prerequisites
None

Expected Duration (hours)
1.6

Lesson Objectives

Working with HDInsight Clusters

  • start the course
  • identify HDInsight cluster types
  • use scripts to customize a cluster
  • create a HDInsight cluster in a private virtual network
  • create a HDInsight cluster with a custom metastore
  • manage metastore upgrades on HDInsight
  • create a HDInsight domain-joined cluster
  • configure managed disks on HDInsight
  • use Azure Portal to provision an HDInsight cluster
  • use .NET SDK to provision an HDInsight cluster
  • use PowerShell to provision an HDInsight cluster
  • use Azure CLI tools to provision an HDInsight cluster
  • configure vNet peering on HDInsight
  • describe Ambari configuration
  • use Ambari to start and stop services
  • manage alerts and metrics using Ambari
  • describe Azure Table storage
  • describe how to enable heap dumps for Hadoop services
  • describe cluster-level debugging
  • provision HDInsight cluster

    • Course Number:
    df_mahd_a02_it_enus

    Expertise Level
    Intermediate