Introduction to Hadoop Administration

Get a complete overview of maintaining Hadoop clusters and its components

Course Code : 1203

$2195

Overview
Schedule classes
What you'll learn
Outline
Prerequisites
Who should attend

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.

Schedule Classes

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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

Module 1: Hadoop overview

MapReduce
Hadoop, YARN, Spark
Mahout and MLib
Alternate frameworks

Module 2: Hadoop architecture

Hadoop MapReduce
YARN
HDFS
Spark
Cassandra
HBase
Hive
Pig

Module 3: Installing Hadoop

Linux considerations
SSH configuration
Hadoop installation
OS security
NamedNodes
Job trackers

Module 4: Test-running Hadoop programs

Simple MapReduce test
Spark test
Pig test

Module 5: Cloud installation (optional)

Amazon EC2
Amazon elastic MapReduce
Rackspace
Installing with Docker

Module 6: Optimization and Tuning

Performance metrics
Node-sizing
Kernel tuning

Module 7: Installing HBase (optional)

HBase installation
ZooKeeper

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.