HBase: The Definitive Guide: Random Access to Your Planet-Size Data

by Lars George

If you're looking for a scalable storage solution to accommodate a virtually endless amount of data, this book shows you how Apache HBase can fulfill your needs. As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. Many IT executives are asking pointed questions about HBase. This book provides meaningful answers, whether you’re evaluating this non-relational database or planning to put it into practice right away.

Discover how tight integration with Hadoop makes scalability with HBase easier Distribute large datasets across an inexpensive cluster of commodity servers Access HBase with native Java clients, or with gateway servers providing REST, Avro, or Thrift APIs Get details on HBase’s architecture, including the storage format, write-ahead log, background processes, and more Integrate HBase with Hadoop's MapReduce framework for massively parallelized data processing jobs Learn how to tune clusters, design schemas, copy tables, import bulk data, decommission nodes, and many other tasks

Genres: Technology, Programming, Computers, Technical, Nonfiction

554 pages, Paperback

First published May 15, 2011

Reviews

[Anton]

The book contains many useful information. I especially liked two chapters: "Architecture" and "Installation / Requirements" about necessary hardware and tuning it to work with HBase.

[Yaniv Bokobza]

very thorough! super important info

[Alex Ott]

This book is comprehensive guide to HBase - starting from base things, like installing it, performing basic operations, etc., it continues to more advanced techniques like coprocessors, integration with map/reduce, and finishing with maintenance and performance tuning.
If you're interested in work with HBase, then this book will be best source of information...

[James]

Good intro to Hbase, and great as an ongoing reference. Could have done a much better job introducing good patterns of schema design (examples use padded ascii versions of numbers in primary keys for example, when in real life one would probably be better off using the byte representation of the number)

[Konstantin Root]

This is the book to read if you are interested in HBase - its well written and covers all areas.
And at this point this is the only book on HBase, so you no option :)

[Alexander Chistyakov]

Probably too much information for a single book. I was quite tired when I finished reading it. :)

[Delhi Irc]

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