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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Toc

Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security Index

Introduction

In this chapter, we will configure Hadoop cluster to run in secure mode and enable authentication, authorization, and secure transit data. By default, Hadoop runs in nonsecure mode with no access control on data blocks or service-level access. We can run all the Hadoop daemons with a single user hadoop, without worrying about security and which daemons access what.

In addition to this, it is important to encrypt the disk, HDFS data at rest, and also to enable Kerberos for the authentication of service access. By default, a HDFS block can be accessed by any map or reduce task, but when Kerberos is enabled all this access is verified.

Note

Each directory, whether it is on HDFS or local disk must have the right permissions and should only allow the permissions which are necessary to run the service and not any more. Refer to the following link for recommended permissions on each directory in Hadoop:

https://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-common/SecureMode...

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