Hadoop Administration

Course: HDPADM

Duration: 3 Days

Level: II

Course Summary

Apache Hadoop is an OpenSource framework for creating reliable and distributable compute clusters. Credited with the IBM Watson Jeopardy win in 2011, Hadoop can be used (with other related frameworks) to process large unstructured or semi-structured data sets from multiple sources to dissect, classify, learn from and make suggestions for business analytics, decision support, and other advanced forms of machine intelligence.

This class is geared for the administrator who is charged with maintaining a Hadoop cluster and its related components. Hadoop is a system designed for massive scalability and is extremely fault-tolerant compared to other cluster architectures. As administrators, we need to install, configure, and maintain Hadoop on Linux in various compute environments.

There is a small amount of overlap with the developer course in the beginning overview sections. There is a single exercise that has the administrators create and test-run a MapReduce program as a developer or user would. All of the remaining exercises are geared towards installation and configuration issues.

This course is focused on the Hadoop 2.0 (pre-)release.

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Topics Covered In This Course

Overview

Map/Reduce
Hadoop
Mahout
Alternate Frameworks

Hadoop Architecture

Hadoop Map/Reduce
HDFS
Cassandra
HBase
Hive
Pig

Installing Hadoop

Linux considerations
SSH configuration
Hadoop installation
OS Security
NamedNodes
Job Trackers

Test-running Hadoop Programs

Simple MapReduce test
Pig Test

Cloud Installations

Amazon EC2
Amazon Elastic MapReduce
Rackspace

Optimization and Tuning

Performance Metrics
Node-sizing
Kernel tuning

Installing HBase [optional]

HBase installation
ZooKeeper

Hive installation [optional]

Cassandra installation [optional]

JBoss Infinispan installation [optional]

Integration with Drools [optional]

Integration with Spring Integration [optional]

Who Should Take This Course

There is a small amount of overlap with the Hadoop developer course in the beginning overview sections. There is a single exercise that has the administrators create and test-run a MapReduce program as a developer or user would. All of the remaining exercises are geared towards installation and configuration issues.

Recommended Prerequisites

Attendees are expected to be experienced UNIX/Linux system administrators. Some Java programming experience will also be helpful.

Training Style

This course is approximately 40% lecture and 60% hands-on labs.

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Related Courses

Code	Course Title	Duration	Level
HDPDEV	Introduction to Hadoop Development	5 Days	II	Details
HDOOP	Apache Hadoop	5 Days	II	Details
ACCUM	Developing Data-driven Applications with Apache Accumulo	3 Days	III	Details

Every student attending a Verhoef Training class will receive a certificate good for $100 toward their next public class taken within a year.

You can also buy "Verhoef Vouchers" to get a discounted rate for a single student in any of our public or web-based classes. Contact your account manager or our sales office for details.

Schedule For This Course
There are currently no public sessions scheduled for this course. We can schedule a private class for your organization just a couple of weeks from now. Or we can let you know the next time we do schedule a public session.

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