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Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Storage 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

Security


Once you built a cluster, the first thing you thought about was how to secure it, right? Don't worry, most people don't. But, as Hadoop has moved on from being something running in-house analysis in the research department to directly driving critical systems, it's not something to ignore for too long.

Securing Hadoop is not something to be done on a whim or without significant testing. We cannot give detailed advice on this topic and cannot stress strongly enough the need to take this topic seriously and do it properly. It might consume time, it might cost money, but weigh this against the cost of having your cluster compromised.

Security is also a much bigger topic than just the Hadoop cluster. We'll explore some of the security features available in Hadoop, but you do need a coherent security strategy into which these discrete components fit.

Evolution of the Hadoop security model

In Hadoop 1, there was effectively no security protection as the provided security model had obvious...

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