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This practical book shows you how to write, tune, and port SQL queries and other statements for a Big Data environment using Impala, the open source, MPP SQL query engine for Apache Hadoop. The best practices outlined inside help database developers and business analysts design schemas that interoperate with other Hadoop components, are convenient for administers to manage and monitor, and accommodate future expansion in data size and evolution of software capabilities.
Author John Russell from Cloudera’s Impala project includes insights from consulting engagements with Cloudera customers and from the Impala development team.
Deploy SQL applications on Hadoop
Understand the strengths and limitations of Impala’s massively parallel processing model for various data-related use cases
Learn a mental model for understanding performance characteristics of Impala
Optimize queries and other statements
Reduce time and effort for porting SQL code to Impala
Chapter 2Why Impala?
Chapter 3Getting Up and Running with Impala
Chapter 4Impala for the Database Developer
Chapter 5Common Developer Tasks for Impala
Chapter 6Tutorials and Deep Dives
Getting Started with Impala
Safari Books Online
Early Release Ebook
October 2014 (est.)
Early Release Ebook:
| ISBN 10:
Early Release Ebook ISBN:
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John Russell is a software developer and technical writer, and he's currently the documentation lead for the Cloudera Impala project. He has a broad range of database and SQL experience from previous roles on industry-leading teams. For DB2, he designed and coded the very first Information Center. For Oracle Database, he documented application development subjects and designed and coded the Project Tahiti doc search engine. For MySQL, he documented the InnoDB storage engine. Originally from Newfoundland, Canada, John now resides in Berkeley, California.