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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 – 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

Key/value pairs


Since Chapter 1, What It's All About, we have been talking about operations that process and provide the output in terms of key/value pairs without explaining why. It is time to address that.

What it mean

Firstly, we will clarify just what we mean by key/value pairs by highlighting similar concepts in the Java standard library. The java.util.Map interface is the parent of commonly used classes such as HashMap and (through some library backward reengineering) even the original Hashtable.

For any Java Map object, its contents are a set of mappings from a given key of a specified type to a related value of a potentially different type. A HashMap object could, for example, contain mappings from a person's name (String) to his or her birthday (Date).

In the context of Hadoop, we are referring to data that also comprises keys that relate to associated values. This data is stored in such a way that the various values in the data set can be sorted and rearranged across a set of keys...

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