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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

Recommendations for CDH cluster configuration

The hardware specification might vary according to the amount of data to be stored and the type of processing power required. It is recommended to use the following configurations:

  • 1 to 4 TB hard disks
  • Two (8 to 24 core) processors, running at least 2 to 2.5 GHz
  • 64 to 512 GB of memory
  • Bonded Gigabit Ethernet or 10 Gigabit Ethernets

Now, let's explain these hardware components in more detail:

  • CPU: The workload depends on this hardware component. It is recommended that we have a medium-clock-speed CPU with two slots for DataNodes. Why medium? This is because the high-end processor cost of a setup rises quickly, so we can have a comparatively cheaper CPU with more machines than use fewer machines with high-end processors. So, it is recommended to have 8 to 24 core processors with medium CPU cycle for less power consumption.
  • Power: This is also a component to consider when configuring a Hadoop cluster because power consumption tends to go up with...
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