Kniha Guide to High Performance Distributed Computing K. G. Srinivasa

Guide to High Performance Distributed Computing

Case Studies with Hadoop, Scalding and Spark

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
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This timely text/reference describes the development and implementation of large-scale distributed p...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2015
Stránek
304
EAN
9783319134963
ISBN
3319134965
Enbook ID
09038600
Hmotnost
632
Rozměry
166 x 247 x 23

Kompletní 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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