Lars George HBase: The Definitive Guide

ISBN 13: 9781449396107

HBase: The Definitive Guide

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9781449396107: HBase: The Definitive Guide
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Book by George Lars

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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

Biografía del autor:

Lars George has been involved with HBase since 2007, and became a full HBase committer in 2009. He has spoken at various Hadoop User Group meetings, as well as large conferences such as FOSDEM in Brussels. He also started the Munich OpenHUG meetings. He now works closely with Cloudera to support Hadoop and HBase in and around Europe through technical support, consulting work, and training.

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Descripción O Reilly Media, Inc, USA, United States, 2011. Paperback. Condición: New. Language: English . Brand New Book. 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. 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. * 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. Nº de ref. del artículo: AAH9781449396107

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Descripción O Reilly Media, Inc, USA, United States, 2011. Paperback. Condición: New. Language: English . Brand New Book. 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. 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. * 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. Nº de ref. del artículo: AAH9781449396107

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