Name: Mapreduce Design Patterns (en Inglés)
Price: 212.97 PEN
Availability: InStock
Author: Donald Miner; Adam Shook
ISBN: 9781449327170

portada Mapreduce Design Patterns (en Inglés)

Formato

Libro Físico

Editorial

O'reilly Vlg. Gmbh & Co.

Autor

Donald Miner; Adam Shook

Año

2012

Idioma

Inglés

N° páginas

249

Encuadernación

Tapa Blanda

ISBN

1449327176

ISBN13

9781449327170

N° edición

Categorías

Sistemas distribuidos

Mapreduce Design Patterns (en Inglés)

Donald Miner; Adam Shook (Autor) · O'reilly Vlg. Gmbh & Co. · Tapa Blanda

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Reseña del libro "Mapreduce Design Patterns (en Inglés)"

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 dataFiltering patterns: view data subsets such as records generated from one userData organization patterns: reorganize data to work with other systems, or to make MapReduce analysis easierJoin patterns: analyze different datasets together to discover interesting relationshipsMetapatterns: piece together several patterns to solve multi-stage problems, or to perform several analytics in the same jobInput 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