If your organization is looking for a storage solution to accommodate a virtually endless amount of data, this book will show 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. HBase: The Definitive Guide provides the details you require, whether you simply want to evaluate this high-performance, non-relational database, or put it into practice right away.Learn how to distribute large datasets across an inexpensive cluster of commodity servers
Develop HBase clients in many programming languages, including Java, Python, and Ruby
Get details on HBase's primary storage system, HDFS—Hadoop’s distributed and replicated filesystem
Learn how HBase's native interface to Hadoop’s MapReduce framework enables easy development and execution of batch jobs that can scan entire tables
Discover the integration between HBase and other facets of the Apache Hadoop project
HBase's adoption rate is beginning to climb, and several IT executives are asking pointed questions about this high-capacity database. This is the only book available to give you meaningful answers.
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Publisher: O'Reilly Media
Page Count (est.): 522
Pub Date: 8/15/2011