Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
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Idioma: Inglés
Publicado por O'Reilly Media, Incorporated, 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
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Idioma: Inglés
Publicado por O'Reilly Media, Incorporated, 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
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Añadir al carritoPaperback. Condición: New. Design patterns for the MapReduce framework, until now, have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using. Each pattern is explained in context, with pitfalls and caveats clearly identified - so you can avoid some of the common design mistakes when modeling your Big Data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why design patterns are so important. Hadoop MapReduce code is provided to help you learn how to apply the design patterns by example.Topics include: Basic patterns, including map-only filter, group by, aggregation, distinct, and limit Joins: traditional reduce-side join, reduce-side join with Bloom filter, replicated join with distributed cache, merge join, Cartesian products, and intersections Binning, sharding for other systems, sorting, sampling, unions, and other patterns for organizing data Job optimization patterns, including multi-job map-only job folding, and overloading the key grouping to perform two jobs at once.
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Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
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Añadir al carritoCondición: New. 2012. 1st Edition. Paperback. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using. Num Pages: 252 pages, Illustrations. BIC Classification: UM; UT. Category: (XV) Technical / Manuals. Dimension: 179 x 234 x 13. Weight in Grams: 442. . . . . .
Idioma: Inglés
Publicado por O'Reilly Media 12/22/2012, 2012
ISBN 10: 1449327176 ISBN 13: 9781449327170
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
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Añadir al carritoPaperback or Softback. Condición: New. MapReduce Design Patterns. Book.
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Añadir al carritoCondición: New. 2012. 1st Edition. Paperback. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using. Num Pages: 252 pages, Illustrations. BIC Classification: UM; UT. Category: (XV) Technical / Manuals. Dimension: 179 x 234 x 13. Weight in Grams: 442. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2012
ISBN 10: 1449327176 ISBN 13: 9781449327170
Librería: Revaluation Books, Exeter, Reino Unido
EUR 60,73
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 232 pages. 9.25x7.00x0.75 inches. In Stock.
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Añadir al carritoCondición: New. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you re using.Until now, design patterns for the MapReduce framework have .
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Añadir al carritoPaperback. Condición: New. Design patterns for the MapReduce framework, until now, have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using. Each pattern is explained in context, with pitfalls and caveats clearly identified - so you can avoid some of the common design mistakes when modeling your Big Data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why design patterns are so important. Hadoop MapReduce code is provided to help you learn how to apply the design patterns by example.Topics include: Basic patterns, including map-only filter, group by, aggregation, distinct, and limit Joins: traditional reduce-side join, reduce-side join with Bloom filter, replicated join with distributed cache, merge join, Cartesian products, and intersections Binning, sharding for other systems, sorting, sampling, unions, and other patterns for organizing data Job optimization patterns, including multi-job map-only job folding, and overloading the key grouping to perform two jobs at once.
Idioma: Inglés
Publicado por O'reilly Media Jan 2013, 2013
ISBN 10: 1449327176 ISBN 13: 9781449327170
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 67,80
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using.Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why design patterns are so important. All code examples are written for Hadoop. Summarization patterns: get a top-level view by summarizing and grouping data Filtering patterns: view data subsets such as records generated from one user Data organization patterns: reorganize data to work with other systems, or to make MapReduce analysis easier Join patterns: analyze different datasets together to discover interesting relationships Metapatterns: piece together several patterns to solve multi-stage problems, or to perform several analytics in the same job Input and output patterns: customize the way you use Hadoop to load or store data'A clear exposition of MapReduce programs for common data processing patterns - this book is indespensible for anyone using Hadoop.'--Tom White, author of Hadoop: The Definitive Guide.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2012
ISBN 10: 1449327176 ISBN 13: 9781449327170
Librería: Revaluation Books, Exeter, Reino Unido
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Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 1st edition. 232 pages. 9.25x7.00x0.75 inches. In Stock. This item is printed on demand.