内容简介

Hive makes life much easier for developers who work with stored and managed data in Hadoop clusters, such as data warehouses. With this example-driven guide, you'll learn how to use the Hive infrastructure to provide data summarization, query, and analysis - particularly with HiveQL, the query language dialect of SQL. You'll learn how to set up Hive in your environment and optimize its use, and how it interoperates with other tools, such as HBase. You'll also learn how to extend Hive with custom code written in Java or scripting languages. Ideal for developers with prior SQL experience, this book shows you how Hive simplifies many tasks that would be much harder to implement in the lower-level MapReduce API provided by Hadoop.

作者简介

Edward Capriolo：Media6degrees公司系统管理员，他是Apache软件基金会成员，还是Hadoop-Hive项目成员。

Dean Wampler：Think Big Analytics公司总顾问，对大数据问题以及Hadoop和机器学习有专门的研究。

Jason Rutherglen：Think Big Analytics公司软件架构师，对大数据、Hadoop、搜索和安全有专门的研究。