Guide to High Performance Distributed Computing

Name: Guide to High Performance Distributed Computing
Brand: Springer International Publishing AG
SKU: 9783319383477
Price: 49.06 EUR
Availability: InStock

Case Studies with Hadoop, Scalding and Spark

Autor: K. G. Srinivasa, Anil Kumar Muppalla

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

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49.06 €

This timely text/reference describes the development and implementation of large-scale distributed p...

Informácie o knihe

Autor

K. G. Srinivasa, Anil Kumar Muppalla

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2016

Stránok

304

EAN

9783319383477

ISBN

3319383477

Enbook ID

15194415

Vydavateľ

Springer International Publishing AG

Hmotnosť

498

Rozmery

155 x 235 x 17

Kompletný popis

This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.

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Guide to High Performance Distributed Computing

Case Studies with Hadoop, Scalding and Spark

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Kompletný popis

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