Introduction to Hadoop Administration

Get a complete overview of maintaining Hadoop clusters and its components

Course Code : 1203
Introduction to Hadoop Administration 0 5 0

$2195

Overview

This three-day introductory course focusses on helping participants gain a thorough understanding of maintaining a Hadoop cluster and its components. Compared to other cluster architectures, Hadoop s designed for massive scalability and has superior fault tolerance. The course also covers how to install, configure and maintain Hadoop on Linux in various computing environments.

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 5 days

Live Virtual Classroom
Duration: 5 days

What You'll learn

  • Learn to install, configure and maintain the Apache Hadoop framework
  • Explore MapReduce, YARN and Spark
  • Explore Mahout and MLib as well as other frameworks
  • Explore Hadoop architecture (MapReduce, YARN, HDFS, Spark, Cassandra, HBase, Pig, Hive)
  • Install Hadoop
  • Test-run Hadoop programs (Explore basic tests)
  • Learn to optimize and performance-tune Hadoop
  • Explore installing Hadoop for the cloud and HBase (optional)

Outline

  • MapReduce
  • Hadoop, YARN, Spark
  • Mahout and MLib
  • Alternate frameworks
  • Hadoop MapReduce
  • YARN
  • HDFS
  • Spark
  • Cassandra
  • HBase
  • Hive
  • Pig
  • Linux considerations
  • SSH configuration
  • Hadoop installation
  • OS security
  • NamedNodes
  • Job trackers
  • Simple MapReduce test
  • Spark test
  • Pig test
  • Amazon EC2
  • Amazon elastic MapReduce
  • Rackspace
  • Installing with Docker
  • Performance metrics
  • Node-sizing
  • Kernel tuning
  • HBase installation
  • ZooKeeper
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Prerequisites

Participants need to be familiar with navigating the Linux command-line and have a basic knowledge of Linux editor, such as, VI/nano, etc. for editing code.

Who Should Attend

The course is highly recommended for –

  • Hadoop administrators
  • Software administrators
  • System administrators

Interested in this course? Let’s connect!

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