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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

Introduction

In this chapter, we will consider the communication between HBase using different types of clients. We will also discuss briefly when which client is suitable and why.

It's very much possible to use HBase without the use of Java. There are two main ways to access the data: REST based and using Thrift API. Also one of the priorities was to decouple the HBase client application with HBase server-side components. The HBase client can write to different clusters having two different versions and should work seamlessly; that is to say that a client running on version A and a server running on version A2 will be able to communicate.

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