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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

The bigger picture


It's important to realize that "simply" getting data from one point to another is rarely the extent of your data considerations. Terms such as data lifecycle management have become widely used recently for good reason. Let's briefly look at some things to consider, ideally before you have the data flooding across the system.

Data lifecycle

The main question to be asked in terms of data lifecycle is for how long will the value you gain from data storage be greater than the storage costs. Keeping data forever may seem attractive but the costs of holding more and more data will increase over time. These costs are not just financial; many systems see their performance degrade as volumes increase.

This question isn't—or at least rarely should be—decided by technical factors. Instead, you need the value and costs to the business to be the driving factors. Sometimes data becomes worthless very quickly, other times the business cannot delete it for either competitive or legal reasons...

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