Programming Hive

Data Warehouse and Query Language for Hadoop

Book Description
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 SQLdialect - 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.
Book Details

• Publisher:        O'Reilly Media
• By:        Edward Capriolo, Dean Wampler, Jason Rutherglen
• ISBN:        978-1-4493-1933-5
• Year:        2012
• Pages:        352
• Language:        English
• File size:        8.7 MB
• File format:        PDF
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