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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


Apache HBase is a non-relational distributed, scalable key-value data store. It provides random read/write, real-time access to HDFS.

In this chapter, we will configure the various modes of the HBase cluster. In simple terms, it is a Hadoop database based on column families with massive scale. The important thing to note is that having a column family does not make it column oriented or NoSQL. There is a common misconception, where many refer to HBase as a column-oriented database even though it isn't, and secondly, a column-oriented database is not necessarily a NoSQL database.

In this chapter, we will cover the HBase cluster configuration, backup, restore, and upgrade processes.

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