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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

Setup types for Hadoop and HBase clusters


Now, let's see the files and their parameters in Hadoop, using which optimization can be performed. Mentioned next are examples of Hadoop/HBase cluster types. When we configure a Hadoop/HBase cluster, we can have the following types of clusters, according to their usability:

  • Standalone: This cluster type is suitable for development work where one machine can host all the daemon processes or we have a single machine with many virtual machines on a single system. This type of cluster is good for evaluation and testing purposes.

  • Small: We can have less than or equal to 20 nodes with different processes running of different machines. It is good for small productions with less data and processing requirements.

  • Medium: This cluster type can have 20 to 1000 nodes with HA, three to five ZooKeepers, and DataNodes, which is better for full-fledged production clusters.

  • Large: This cluster type can have 1000 or more nodes with huge storage capacity and several...

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