O'Reilly HBase: The Definitive Guide

O'Reilly HBase: The Definitive Guide

简介:

如果您的组织正在寻找一种存储解决方案来容纳几乎无穷无尽的数据量,本书将向您展示Apache HBase如何满足您的需求。作为Google BigTable架构的开源实现,HBase可扩展到数十亿行和数百万列,同时确保写入和读取性能保持不变。HBase: 最终指南提供了您需要的详细信息,无论您只是想评估这个高性能的非关系数据库,还是立即将其付诸实践。

HBase的采用率开始攀升,几位IT高管正在就这个高容量数据库提出尖锐的问题。这是唯一一本可以给你有意义答案的书。

了解如何在廉价的商用服务器集群中分发大型数据集使用多种编程语言开发HBase客户端,包括Java、Python和Ruby详细了解HBase的主存储系统,HDFS-Hadoop的分布式和复制文件系统了解HBase与Hadoop MapReduce框架的本机接口如何轻松开发和执行可扫描整个表的批处理作业了解HBase与Apache Hadoop项目其他方面之间的集成

英文简介:

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 serversDevelop HBase clients in many programming languages, including Java, Python, and RubyGet details on HBase's primary storage system, HDFS - Hadoop's distributed and replicated filesystemLearn how HBase's native interface to Hadoop's MapReduce framework enables easy development and execution of batch jobs that can scan entire tablesDiscover the integration between HBase and other facets of the Apache Hadoop project

书名
O'Reilly HBase: The Definitive Guide
译名
O'Reilly® HBase:权威指南
语言
英语
年份
2011
页数
554页
大小
12.14 MB
标签
  • 大数据
  • 下载
    pdf iconO'Reilly HBase: The Definitive Guide.pdf
    密码
    65536

    最后更新:2025-04-12 23:57:41

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