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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

Cluster access control


Once you have the shiny new cluster up and running, you need to consider questions of access and security. Who can access the data on the cluster—is there sensitive data that you really don't want the whole user base to see?

The Hadoop security model

Until very recently, Hadoop had a security model that could, at best, be described as "marking only". It associated an owner and group with each file but, as we'll see, did very little validation of a given client connection. Strong security would manage not only the markings given to a file but also the identities of all connecting users.

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