 |
| Manning Early Access Program |
HBase in Action Nick Dimiduk and Amandeep Khurana MEAP Began: January 2012 Softbound print: Fall 2012 | 350 pages ISBN: 9781617290527 |
|
|||
| Pre-Order options* | ||||
| Order today and start reading HBase in Action today through MEAP | ||||
| MEAP + Ebook only - $31.99 | ||||
| MEAP + Print book (includes Ebook) when available - $39.99 | ||||
| * For more information, please see the MEAP FAQs page. | ||||
| About MEAP Release Date Estimates | ||||
Table of Contents, MEAP Chapters & Resources
| Table of Contents | Resources |
|
PART 1: KICKING THE TIRES
1. Introducing HBase - FREE 2. Getting started - AVAILABLE 3. HBase and MapReduce - AVAILABLE PART 2: ADJACENT CONCERNS 4. Schema design 5. Coprocessors 6. Beyond Java PART 3: HBASE IN PRACTICE 7. Example application: OpenTSDB 8. Example schemas: MD-HBase - AVAILABLE 9. From relational to HBase: Northwind PART 4: MAKING HBASE WORK FOR YOU 10. Deployment 11. Operations APPENDIXES A. Beyond MapReduce B. HBase shell commands C. HBase configuration parameters D. Bundled MR jobs |
|
DESCRIPTION
When you're dealing with big data, traditional databases don't cut it. Use the right tool for the job. HBase is a NoSQL storage system designed from the ground up for fast, random access to large volumes of data. Built on Hadoop, it runs on commodity hardware and scales along with you from modest datasets up to millions of columns and billions of rows.
HBase in Action provides 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. Along the way you'll learn patterns and best practices.
WHAT'S INSIDE
- When and how to use HBase.
- Practical examples and real-world applications.
- Design patterns for scalable data systems.
- Deployment, integration, and design.
Written for architects and developers familiar with data storage and processing. No prior knowledge of HBase, Hadoop, or MapReduce is required.
About the Authors
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. 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.
About the Early Access Version
This Early Access version of HBase in Action enables you to receive new chapters as they are being written. You can also interact with the authors to ask questions, provide feedback and errata, and help shape the final manuscript on the Author Online
Want to learn More?
Sign up to read more content when it is released and to receive news about this book.