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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (23) Chapters close

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
1. Journey to Hadoop 3 2. Deep Dive into the Hadoop Distributed File System 3. YARN Resource Management in Hadoop 4. Internals of MapReduce 5. SQL on Hadoop 6. Real-Time Processing Engines 7. Widely Used Hadoop Ecosystem Components 8. Designing Applications in Hadoop 9. Real-Time Stream Processing in Hadoop 10. Machine Learning in Hadoop 11. Hadoop in the Cloud 12. Hadoop Cluster Profiling 13. Who Can Do What in Hadoop 14. Network and Data Security 15. Monitoring Hadoop 1. Other Books You May Enjoy Index

User authorization


Once the identity of the end user is established via Kerberos authentication, the next step in Hadoop security is to ensure what actions or services those established identities can perform. Authorization deals with that. In the following sections, we will look into how authorization rules can be established for different users across different services and how data is stored in HDFS. We will look into two different types of tools that facilitate centralized security policy management for authorization. Let's look into these in brief.

Ranger

The following diagram represents the architecture of the Ranger tool, which lets you centrally manage security policies for different Hadoop services:

As shown in the preceding diagram, all policies are centrally managed through an administrative web portal. The portal has three distinct parts, namely auditing, KMS, and the policy server. The policy server has several different functionalities. The following are the prime functions of...

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