HBase in Action

HBase in Action book cover

HBase in Action

Author(s): Nick Dimiduk (Author), Amandeep Khurana (Author)

  • Publisher: Manning
  • Publication Date: November 17, 2012
  • Edition: First Edition
  • Language: English
  • Print length: 360 pages
  • ISBN-10: 1617290521
  • ISBN-13: 9781617290527

Book Description

Summary

HBase in Action has all the knowledge you need to design, build, and run applications using HBase. First, it introduces you to the fundamentals of distributed systems and large scale data handling. Then, you’ll explore real-world applications and code samples with just enough theory to understand the practical techniques. You’ll see how to build applications with HBase and take advantage of the MapReduce processing framework. And along the way you’ll learn patterns and best practices.

About the Technology

HBase is a NoSQL storage system designed for fast, random access to large volumes of data. It runs on commodity hardware and scales smoothly from modest datasets to billions of rows and millions of columns.

About this Book

HBase in Action is an experience-driven guide that shows you how to design, build, and run applications using HBase. First, it introduces you to the fundamentals of handling big data. Then, you’ll explore HBase with the help of real applications and code samples and with just enough theory to back up the practical techniques. You’ll take advantage of the MapReduce processing framework and benefit from seeing HBase best practices in action.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

What’s Inside

  • When and how to use HBase
  • Practical examples
  • Design patterns for scalable data systems
  • Deployment, integration, and design


Written for developers and architects familiar with data storage and processing. No prior knowledge of HBase, Hadoop, or MapReduce is required.

Table of Contents


  1. PART 1 HBASE FUNDAMENTALS

  2. Introducing HBase
  3. Getting started
  4. Distributed HBase, HDFS, and MapReduce

  5. PART 2 ADVANCED CONCEPTS

  6. HBase table design
  7. Extending HBase with coprocessors
  8. Alternative HBase clients

  9. PART 3 EXAMPLE APPLICATIONS

  10. HBase by example: OpenTSDB
  11. Scaling GIS on HBase

  12. PART 4 OPERATIONALIZING HBASE

  13. Deploying HBase
  14. Operations

Editorial Reviews

About the Author

Nick Dimiduk has worked as a software engineer and data architect in both startups and enterprise, supporting efforts of national intelligence, social media analytics, digital marketing, and climatology research, and GIS.

Amandeep Khurana is a Solutions Architect at Cloudera where he builds solutions based on the Hadoop ecosystem, and was previously a part of the Amazon Elastic MapReduce team.

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