Hbase in Action

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

PART 1 HBASE FUNDAMENTALS

1. Introducing HBase
2. Getting started


3. Distributed HBase, HDFS, and MapReduce

PART 2 ADVANCED CONCEPTS

4. HBase table design


5. Extending HBase with coprocessors
6. Alternative HBase clients

PART 3 EXAMPLE APPLICATIONS

7. HBase by example: OpenTSDB
8. Scaling GIS on HBase

PART 4 OPERATIONALIZING HBASE

9. Deploying HBase


10. Operations

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.