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Programming Hive: Data Warehouse and Query Language for Hadoop

by Edward Capriolo , Dean Wampler , Jason Rutherglen
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Current price ₹3,716.00
Original price ₹3,920.00
Original price ₹3,920.00
Original price ₹3,920.00
(-5%)
₹3,716.00
Current price ₹3,716.00

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Book cover type: Paperback
  • ISBN13: 9781449319335
  • Binding: Paperback
  • Subject: N/A
  • Publisher: O'Reilly Media
  • Publisher Imprint: O'Reilly Media
  • Publication Date:
  • Pages: 350
  • Original Price: USD 39.99
  • Language: English
  • Edition: 1
  • Item Weight: 567 grams
  • BISAC Subject(s): Data Science / Data Warehousing

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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