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Learning Hbase

You're reading from   Learning Hbase Learn the fundamentals of HBase administration and development with the help of real-time scenarios

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783985944
Length 326 pages
Edition 1st Edition
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Author (1):
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Shashwat Shriparv Shashwat Shriparv
Author Profile Icon Shashwat Shriparv
Shashwat Shriparv
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Table of Contents (12) Chapters Close

Preface 1. Understanding the HBase Ecosystem FREE CHAPTER 2. Let's Begin with HBase 3. Let's Start Building It 4. Optimizing the HBase/Hadoop Cluster 5. The Storage, Structure Layout, and Data Model of HBase 6. HBase Cluster Maintenance and Troubleshooting 7. Scripting in HBase 8. Coding HBase in Java 9. Advance Coding in Java for HBase 10. HBase Use Cases Index

Performing capacity planning


Hadoop and HBase were developed to run commodity hardware so that we can have hundreds of commodity machines and configure a Hadoop/HBase cluster. As data becomes costlier or important, we prefer some good machines so as to provide a robust cluster operation.

We have two scenarios—one in which we have many low-end machines, and another in which we have less number of machines for a cluster to be configured. In the first scenario, what we can do is set the replication factor more as we have many machines with storage and memory, and by setting a higher replication of data, we can make sure that data is available even if a machine fails frequently. For this scenario, we must have a good configuration machine that hosts NameNode, because it's a crucial component of the cluster and a proper back-up plan for metadata. In the second scenario, we might have less number of machines, so it is suggested that these machines must be well configured.

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