Parallel R: Data Analysis in the Distributed World - Tapa blanda

McCallum, Q; Weston, Stephen

 
9781449309923: Parallel R: Data Analysis in the Distributed World
Tapa blanda
ISBN 10: 1449309925 ISBN 13: 9781449309923
Editorial: O'Reilly Media, 2011

Sinopsis

It's tough to argue with R as a high-quality, cross-platform, open source statistical software product--unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets, including three chapters on using R and Hadoop together. You'll learn the basics of Snow, Multicore, Parallel, Segue, RHIPE, and Hadoop Streaming, including how to find them, how to use them, when they work well, and when they don't.

With these packages, you can overcome R's single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R's memory barrier.

  • Snow: works well in a traditional cluster environment
  • Multicore: popular for multiprocessor and multicore computers
  • Parallel: part of the upcoming R 2.14.0 release
  • R+Hadoop: provides low-level access to a popular form of cluster computing
  • RHIPE: uses Hadoop's power with R's language and interactive shell
  • Segue: lets you use Elastic MapReduce as a backend for lapply-style operations

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Acerca del autor

Q Ethan McCallum is a consultant, writer, and technology enthusiast, though perhaps not in that order. His work has appeared online on The O'Reilly Network and Java.net, and also in print publications such as C/C++ Users Journal, Doctor Dobb's Journal, and Linux Magazine. In his professional roles, he helps companies to make smart decisions about data and technology. Stephen Weston has been working in high performance and parallel computing for over 25 years. He was employed at Scientific Computing Associates in the 90's, working on the Linda programming system, invented by David Gelernter. He was also a founder of Revolution Computing, leading the development of parallel computing packages for R, including nws, foreach, doSNOW, and doMC. He works at Yale University as an HPC Specialist.

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Editorial
O'Reilly Media
Año de publicación
2011
Idioma
Inglés
ISBN 10 
1449309925
ISBN 13 
9781449309923
Encuadernación
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Número de páginas
120
Contacto del fabricante
O'Reilly
https://oreilly.com

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Otras ediciones populares con el mismo título

9789350236802: PARALLEL R [Paperback] [Mar 15, 2012] MCCALLUM

Edición Destacada

ISBN 10:  935023680X ISBN 13:  9789350236802
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