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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 FREE CHAPTER 2. Getting Hadoop Up and Running 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

Simple, advanced, and in-between


Including the word "advanced" in a chapter title is a little dangerous, as complexity is a subjective concept. So let's be very clear about the material covered here. We don't, for even a moment, suggest that this is the pinnacle of distilled wisdom that would otherwise take years to acquire. Conversely, we also don't claim that some of the techniques and problems covered in this chapter will have occurred to someone new to the world of Hadoop.

For the purposes of this chapter, therefore, we use the term "advanced" to cover things that you don't see in the first days or weeks, or wouldn't necessarily appreciate if you did. These are some techniques that provide both specific solutions to particular problems but also highlight ways in which the standard Hadoop and related APIs can be employed to address problems that are not obviously suited to the MapReduce processing model. Along the way, we'll also point out some alternative approaches that we don't implement...

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