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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

Authorization in Hadoop

Authorization involves restricting access to resources. Hadoop provides authorization for both HDFS and all Hadoop services. In this section, we will look at how authorization can be enabled in Hadoop to secure shared resources against illegitimate access.

Authorization in HDFS

The HDFS authorization model is very similar to the authorization model in a POSIX system. In POSIX, each resource—files and directories—is associated with an owner user and a group. HDFS is similar to this. Permissions are given to each of these identities separately. There are separate permissions for:

  • The owner of the resource
  • The users of the group that are associated with the resource
  • All other users within the system

There are two permissions levels, read and write. In contrast with POSIX, there is no execute permission on files in HDFS as files are not executables. Any user, or a user belonging to a group that has the read permission r, is only allowed to read the contents of...

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