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Programming Hive / Edward Capriolo, Dean Wampler, and Jason Rutherglen.

By: Contributor(s): Material type: TextTextPublication details: Sebastopol, CA : O'Reilly & Associates, c2012.Edition: 1st edDescription: xvii, 328 p. : ill. ; 24 cmISBN:
  • 9789350239148
Other title:
  • Hive
Subject(s): DDC classification:
  • 005.745 CAP
Online resources: Summary: "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- Hive QL- 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 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 petabyes of data."--P. [4] of cover.
List(s) this item appears in: New Arrivals- September 1st to 30th 2022
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Item type Current library Call number Status Date due Barcode
Books Institute of Public Enterprise, Library S Campus 005.745 CAP (Browse shelf(Opens below)) Available 46649
Books Institute of Public Enterprise, Library S Campus 005.745 CAP (Browse shelf(Opens below)) Available 46650
Books Institute of Public Enterprise, Library S Campus 005.745 CAP (Browse shelf(Opens below)) Available 46651

"Data warehouse and query language for Hadoop"--Cover.

Includes bibliographical references (p. 309-311) and index.

"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- Hive QL- 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 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 petabyes of data."--P. [4] of cover.

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