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Hadoop Beginner's Guide

You're reading from   Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About 2. Getting Hadoop Up and Running FREE CHAPTER 3. Understanding MapReduce 4. Developing MapReduce Programs 5. Advanced MapReduce Techniques 6. When Things Break 7. Keeping Things Running 8. A Relational View on Data with Hive 9. Working with Relational Databases 10. Data Collection with Flume 11. Where to Go Next Pop Quiz Answers Index

AWS resources


Many Hadoop technologies can be deployed on AWS as part of a self-managed cluster. But just as Amazon offers support for Elastic MapReduce, which handles Hadoop as a managed service, there are a few other services that are worth mentioning.

HBase on EMR

This isn't really a distinct service per se, but just as EMR has native support for Hive and Pig, it also now offers direct support for HBase clusters. This is a relatively new capability, and it will be interesting to see how well it works in practice; HBase has historically been quite sensitive to the quality of the network and system load.

SimpleDB

Amazon SimpleDB (http://aws.amazon.com/simpledb) is a service offering an HBase-like data model. This isn't actually implemented atop Hadoop, but we'll mention this and the following service as they do provide hosted alternatives worth considering if a HBase-like data model is of interest. The service has been around for several years and is very mature with well understood use cases...

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