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All Classes Will Be Held Virtually – Live Online Intertech's Training Division has been successfully instructing professionals through virtual live online training since the advent of the smartboard. It is a proven form and offers the convenience of live questions, group interaction, and labs with an instructor looking over your shoulder. Because of this, we will continue all classes live but virtually, including Agile and Scrum instruction, so businesses and individual’s seeking professional development can keep moving forward during these unexpected times.

Hadoop for Systems Administrators Training

Course ID: GL660
Duration: 3 Days

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This course covers the essentials of deploying and managing an Apache™ Hadoop® cluster. The course is lab intensive with each participant creating their own Hadoop cluster using either the CDH (Cloudera's Distribution, including Apache Hadoop) or Hortonworks Data Platform stacks. Core Hadoop services are explored in depth with emphasis on troubleshooting and recovering from common cluster failures. The fundamentals of related services such as Ambari, Zookeeper, Pig, Hive, HBase, Sqoop, Flume, and Oozie are also covered. The course is approximately 60% lecture and 40% labs.

Supported Distributions:

Red Hat Enterprise Linux 7

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For groups of 5 or more, let Intertech bring this course to your location. Customized versions tailored towards your objectives are also available.

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Qualified participants should be comfortable with the Linux commands and have some systems administration experience, but do not need previous Hadoop experience

Course Outline

Hadoop Overview

  • Data Analysis
  • Big Data
  • Origins of Hadoop
  • Hadoop Marketplace
  • Hadoop Core
  • Hadoop Ecosystem:
  • Hadoop Ecosystem (cont):
  • Hadoop Ecosystem (cont):
  • Hadoop Ecosystem (cont):
  • Hadoop Ecosystem (cont):
  • Cluster Architecture
  • Hardware/Software Requirements
  • Running Commands on Multiple Systems

Lab Tasks

  • Running Commands on Multiple Hosts
  • Preparing to Install Hadoop


  • Design Goals
  • Design
  • Blocks
  • Block Replication
  • Namenode Daemon
  • Secondary Namenode Daemon
  • Datanode Daemon
  • Accessing HDFS
  • Permissions and Users
  • Adding and Removing Datanodes
  • Balancing

Lab Tasks

  • Single Node HDFS
  • Multi-node HDFS
  • Files and HDFS
  • Managing and Maintaining HDFS


  • YARN Design Goals
  • YARN Architecture
  • Resource Manager
  • Node Manager
  • Containers
  • YARN: Other Important Features
  • Slider

Lab Tasks

  • YARN


  • MapReduce
  • Terminology and Data Flow

Lab Tasks

  • MapReduce

Installing Hadoop with Ambari Lab Tasks

  • CDH Uninstall
  • Installing Hadoop with Ambari
  • Tez

Data Ingestion

  • Sqoop
  • Flume
  • Kafka

Lab Tasks

  • Sqoop

Data Lineage and Governance

  • Falcon
  • Atlas
  • Oozie

Data Processing Frameworks

  • The Bane of MapReduce
  • Tez overview
  • Pig
  • Hive
  • Spark
  • Storm
  • Solr
  • Solr (cont)

Lab Tasks

  • Pig

NoSQL Implementations

  • HBase
  • Phoenix

Cluster Management

  • Ambari Metrics System (AMS)
  • Zookeeper

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