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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
Tools
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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

HDFS encryption at Rest

In this recipe, we will look at transparent HDFS encryption, which is encryption of data at rest. A typical use case could be a cluster used by a financial domain and others within a company using HDFS to store critical data.

The concept involves Key Management Server (KMS), which provides keys and encryption zones that secure data using the key. To access data, we need the key and data from the encrypted zone that cannot be moved to nonencrypted zones without a proper key.

Getting ready

To step through the recipe in this section, we need Hadoop cluster configured with HDFS at least. The changes can be done on one node and then the modified files copied across all nodes in the cluster.

How to do it...

  1. Connect to the master node in the cluster; we are using the nn1.cluster1.com node.
  2. Switch to user hadoop or root and make all the changes, as shown in the following steps.
  3. Edit the file /opt/cluster/hadoop/etc/hadoop/core-site.xml and enable the KMS store by adding the following...
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