Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

A note on EMR


One of the main benefits of using cloud services such as those offered by Amazon Web Services is that much of the maintenance overhead is borne by the service provider. Elastic MapReduce can create Hadoop clusters tied to the execution of a single task (non-persistent job flows) or allow long-running clusters that can be used for multiple jobs (persistent job flows). When non-persistent job flows are used, the actual mechanics of how the underlying Hadoop cluster is configured and run are largely invisible to the user. Consequently, users employing non-persistent job flows will not need to consider many of the topics in this chapter. If you are using EMR with persistent job flows, many topics (but not all) do become relevant.

We will generally talk about local Hadoop clusters in this chapter. If you need to reconfigure a persistent job flow, use the same Hadoop properties but set them as described in Chapter 3, Writing MapReduce Jobs.