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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
Tools
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Author (1):
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 Karanth Karanth
Author Profile Icon Karanth
Karanth
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Table of Contents (21) Chapters Close

Mastering Hadoop
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop Hadoop for Microsoft Windows Index

Chapter 11. Hadoop Security

Data is an asset to any organization. In this millennium, large companies such as Google have shown that gathering data and analyzing it can in itself be a product that can lead to an extremely successful business. This demonstration led to an explosion in data-driven decision-making for businesses and personalized experiences for the consumer. Data essentially became a high-value property for an organization. Just like any other asset, data needs to be protected.

Data security is the area that looks into protection of data. Security threats to data can come from outside the organization or from within it. Data theft is one of the highest reported cyber crimes. Recent studies have shown that data security threats are more common from within the organization, either by disgruntled personnel or inadvertently by benign users. A security feature such as authorization has become a baseline security feature for any data product.

In this chapter, we will look at the following...

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