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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

HBase is uniquely designed for scale and provides ability to read and write individual cells, columns, column families, column qualifier, row-keys, versions of data, and timestamps updating data without usage of MapReduce. It is totally different from the traditional RDBMS databases. An RDBMS system takes advantage of the following structural concepts such as schema (logical representation of various grouped objects), tables, columns, foreign keys, joins, indexes, store procedures, queries, hints cache, and so on. This works well if the data is structured, but starts getting very complex if the data grows very fast (exponentially); the data structure changes very frequently.

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