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HBase High Performance Cookbook

You're reading from  HBase High Performance Cookbook

Product type Book
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Pages 350 pages
Edition 1st Edition
Languages
Author (1):
Ruchir Choudhry Ruchir Choudhry
Profile icon Ruchir Choudhry
Toc

Table of Contents (19) Chapters close

HBase High Performance Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Configuring HBase 2. Loading Data from Various DBs 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

Introduction


Hadoop/Hbase was designed to crunch a huge amount of data in a batch mode and provide meaningful results to this data. However, as the technology evolved over the years, the original architecture was fine tuned to move from the world of big-iron to the choice of cloud infrastructure:

  1. It provides optimum pricing for the provisioning of new hardware, storage, and monitoring the infrastructure.

  2. One-click setup of additional nodes and storage.

  3. Elastic load-balancing to different clusters within the Hbase ecosystem.

  4. Ability to resize the cluster on-demand.

  5. Share capacity with different time-zones, for example, doing batch jobs in different data centers to and real-time analytics near to the customer.

  6. Easy integration with other Cloud-based services.

  7. HBase on Amazon EMR provides the ability to back up your HBase data directly to Amazon Simple Storage Service (Amazon S3). You can also restore from a previously created backup when launching an HBase cluster.

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