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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.

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.

About the Authors

Nick Dimiduk is a Data Architect with experience in social media analytics, digital marketing, and GIS. Amandeep Khurana is a Solutions Architect focused on building HBase-driven solutions.

Table of Contents

  1. Copyright
  2. Brief Table of Contents
  3. Table of Contents
  4. Foreword
  5. Letter to the HBase Community
  6. Preface
  7. Acknowledgments
  8. About this Book
  9. About the Authors
  10. About the Cover Illustration
  11. Part 1. HBase fundamentals
    1. Chapter 1. Introducing HBase
    2. Chapter 2. Getting started
    3. Chapter 3. Distributed HBase, HDFS, and MapReduce
  12. Part 2. Advanced concepts
    1. Chapter 4. HBase table design
    2. Chapter 5. Extending HBase with coprocessors
    3. Chapter 6. Alternative HBase clients
  13. Part 3. Example applications
    1. Chapter 7. HBase by example: OpenTSDB
    2. Chapter 8. Scaling GIS on HBase
  14. Part 4. Operationalizing HBase
    1. Chapter 9. Deploying HBase
    2. Chapter 10. Operations
  15. Appendix A. Exploring the HBase system
  16. Appendix B. More about the workings of HDFS
  17. Index
  18. List of Figures
  19. List of Tables
  20. List of Listings
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