Programming Hive
Data Warehouse and Query Language for Hadoop
Publisher: O'Reilly Media
Released: September 2012
Pages: 352

Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem.

This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data.

  • Use Hive to create, alter, and drop databases, tables, views, functions, and indexes
  • Customize data formats and storage options, from files to external databases
  • Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods
  • Gain best practices for creating user defined functions (UDFs)
  • Learn Hive patterns you should use and anti-patterns you should avoid
  • Integrate Hive with other data processing programs
  • Use storage handlers for NoSQL databases and other datastores
  • Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce
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5.0

A Solid, Readable Guide to Hive.

By jfx

from Singapore

About Me Hadoop And Hive Developer

Pros

  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Intermediate
    • Novice

    Comments about oreilly Programming Hive:

    Coming from the days when the only Hive documentation was the Apache.org wiki, this book is a godsend.

    Very readable by mere mortals, it gives clear, concise explanations of how Hive works as well as tips and trick for performance.

    People new to Hive will get a grasp of the power of Hive. Old hands will probably pick up a few tricks and nuances.

    And did I mention it's quite readable--not like a lot of tech books. Thats very strong praise right there.

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