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Learning YARN

You're reading from Learning YARN Moving beyond MapReduce - learn resource management and big data processing using YARN

Product type Paperback

Published in Aug 2015

Publisher

ISBN-13 9781784393960

Length 278 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Table of Contents (14) Chapters

Preface

1. Starting with YARN Basics FREE CHAPTER

2. Setting up a Hadoop-YARN Cluster

3. Administering a Hadoop-YARN Cluster

4. Executing Applications Using YARN

5. Understanding YARN Life Cycle Management

6. Migrating from MRv1 to MRv2

7. Writing Your Own YARN Applications

8. Dive Deep into YARN Components

9. Exploring YARN REST Services

10. Scheduling YARN Applications

11. Enabling Security in YARN

12. Real-time Data Analytics Using YARN

Index

Other security frameworks

Other than the mentioned security mechanisms, a few security frameworks are being developed. These frameworks are being developed to simplify the security configurations for a cluster administrator. This section will cover a basic overview of the Apache Ranger and Knox projects.

Apache Ranger

Apache Ranger is an incubator project that provides a framework for central management of the Hadoop security policies. It provides a central UI and REST APIs to manage security policies for the Hadoop cluster.

This consists of three components:

Policy manager
Plugins
User group sync

The current release (0.4) supports security administration for the following technologies/frameworks—Hadoop HDFS, Hive, HBase, Storm, and Knox. The next release (0.5) is focused to support authorization and auditing for YARN services. It'll provide support for managing and auditing ACLs for YARN queues.

To read more about Apache Ranger, you can refer to the official website at http://ranger...

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