HBase: The Definitive Guide (Paperback)

Lars George

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商品描述

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

商品描述(中文翻譯)

如果您的組織正在尋找一個能夠容納幾乎無限量數據的存儲解決方案,本書將向您展示Apache HBase如何滿足您的需求。作為Google BigTable架構的開源實現,HBase能夠擴展到數十億行和數百萬列,同時確保寫入和讀取性能保持恆定。《HBase: The Definitive Guide》提供了您所需的詳細信息,無論您只是想評估這個高性能的非關聯型數據庫,還是立即投入實踐。

HBase的採用率正在逐漸上升,一些IT高管正在對這個高容量數據庫提出尖銳的問題。這是唯一一本能夠給您有意義答案的書籍。

- 學習如何在一個廉價的商用伺服器集群上分佈大型數據集
- 使用多種編程語言(包括Java、Python和Ruby)開發HBase客戶端
- 獲取有關HBase的主要存儲系統HDFS的詳細信息,HDFS是Hadoop的分佈式和複製文件系統
- 學習HBase與Hadoop的MapReduce框架之間的本地接口,實現對整個表進行批處理的簡單開發和執行
- 探索HBase與Apache Hadoop項目的其他方面的集成