John Russell

Getting Started with Impala (eBook, ePUB)

Interactive SQL for Apache Hadoop

• Format: ePub

Produktbeschreibung

Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impalathe massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to manage and monitor, but also accommodate future expansion in data size and evolution of software capabilities.Written by John Russell, documentation lead for the Cloudera Impala project, this book gets you working with the most recent Impala releases quickly. Ideal for database developers and business analysts, the latest revision covers analytics functions, complex types, incremental statistics, subqueries, and submission to the Apache incubator.Getting Started with Impala includes advice from Clouderas development team, as well as insights from its consulting engagements with customers.Learn how Impala integrates with a wide range of Hadoop componentsAttain high performance and scalability for huge data sets on production clustersExplore common developer tasks, such as porting code to Impala and optimizing performanceUse tutorials for working with billion-row tables, date- and time-based values, and other techniquesLearn how to transition from rigid schemas to a flexible model that evolves as needs changeTake a deep dive into joins and the roles of statistics

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 152
• Erscheinungstermin: 25. September 2014
• Englisch
• ISBN-13: 9781491905722
• Artikelnr.: 41820962

Autorenporträt

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.