Programming Hive: Data Warehouse And Query Language For Hadoop
  • Programming Hive: Data Warehouse And Query Language For Hadoop
  • Programming Hive: Data Warehouse And Query Language For Hadoop
ISBN: 1449319335
EAN13: 9781449319335
Language: English
Release Date: Oct 16, 2012
Pages: 350
Dimensions: 0.8" H x 9.2" L x 6.9" W
Weight: 1.25 lbs.
Format: Paperback
Publisher:
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Book 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

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