Guide to High Performance Distributed Computing

Name: Guide to High Performance Distributed Computing
Brand: Springer International Publishing AG
SKU: 9783319134963
Price: 271.62 RON
Availability: InStock

Case Studies with Hadoop, Scalding and Spark

Autor: K. G. Srinivasa, Anil Kumar Muppalla

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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271.62 lei

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

Informații despre carte

Autor

K. G. Srinivasa, Anil Kumar Muppalla

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2015

Pagini

304

EAN

9783319134963

ISBN

3319134965

Enbook ID

09038600

Editura

Springer International Publishing AG

Greutate

632

Dimensiuni

166 x 247 x 23

Descriere completă

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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Descriere completă

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