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HBase High Performance Cookbook

You're reading from   HBase High Performance Cookbook Solutions for optimization, scaling and performance tuning

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
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Author (1):
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Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
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Table of Contents (13) Chapters Close

Preface 1. Configuring HBase 2. Loading Data from Various DBs FREE CHAPTER 3. Working with Large Distributed Systems Part I 4. Working with Large Distributed Systems Part II 5. Working with Scalable Structure of tables 6. HBase Clients 7. Large-Scale MapReduce 8. HBase Performance Tuning 9. Performing Advanced Tasks on HBase 10. Optimizing Hbase for Cloud 11. Case Study Index

Works on different VM/physical, cloud hardware

In case you want to do a scalability based on the VMware architecture, the way to go will be VMware vSphereâ„¢ Big Data Extensions:

The benefits to do this are phenomenal, which we can list as follows:

  • Rapid provisioning: Virtualization allows very sophisticated facilities like cloning, templates, resource allocation and optimizations, speed of deployment. A large scale distributed Hadoop/HBase cluster which is deployed on multiple nodes and can scale on demand and downscale as needed.
  • High Availability (HA) and Fault Tolerance: By design hadoop/HBase ecosystem comes with HA as the underlying layer is HDFS but some of the core components of the system like namenode, HBase master, secondary namenode, jobtracker becomes single point of failure. VM Ware provides very advanced underlying technology, which can help us do this by using vSphere and vMotion.
  • Datacenter efficiency: It can be achieved by using the infrastructure flexibly or elastically...
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