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Programming Hive|Edward Capriolo

Programming Hive : Data Warehouse and Query Language for Hadoop

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Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9781449319335
  • ISBN-10: 1449319335
  • Publisher: O'Reilly Media
  • Publish Date: October 2012
  • Dimensions: 9.1 x 7 x 0.8 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 350

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