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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
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

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 A. Hadoop for Microsoft Windows Index

Data confidentiality in Hadoop

Hadoop is a distributed system. All distributed systems are interconnected via a network. Networks are vulnerable to malicious sniffing of data. Data at rest can also be read if they are not protected via encryption.

Data confidentiality for data at rest is delegated to the OS that hosts the DataNode. Most modern OSes provide encryption schemes to protect data on disks under their purview. In this section, we will look at confidentiality over the wire and how to enable encryption when data is in transit.

HTTPS and encrypted shuffle

Encrypted shuffle is a feature that facilitates data confidentiality in the shuffle process. To recap, the shuffle step is where data moves from the Map to the Reduce tasks in a MapReduce job life cycle. The movement of data occurs across machines through the network. The transport used to move this data across the network is HTTP.

HTTP, by itself, sends data in clear text, that is, in an unencrypted form. This can lead to information...

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