Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2012
ISBN 10: 1449319335 ISBN 13: 9781449319335
Anbieter: Better World Books: West, Reno, NV, USA
Zustand: Good. Used book that is in clean, average condition without any missing pages.
Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2012
ISBN 10: 1449319335 ISBN 13: 9781449319335
Anbieter: Better World Books, Mishawaka, IN, USA
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Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Packt Publishing, Limited, 2011
ISBN 10: 1849515123 ISBN 13: 9781849515122
Anbieter: Better World Books: West, Reno, NV, USA
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Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2012
ISBN 10: 1449319335 ISBN 13: 9781449319335
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 42,16
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In den WarenkorbZustand: New. pp. xvii + 328 Illus.
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: New. 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 da.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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.