Guide to High Performance Distributed Computing, Softcover reprint of the original 1st ed. 2015 Case Studies with Hadoop, Scalding and Spark Computer Communications and Networks Series
Auteurs : Srinivasa K.G., Muppalla Anil Kumar
Part I: Programming Fundamentals of High Performance Distributed Computing
Introduction
Getting Started with Hadoop
Getting Started with Spark
Programming Internals of Scalding and Spark
Part II: Case studies using Hadoop, Scalding and Spark
Case Study I: Data Clustering using Scalding and Spark
Case Study II: Data Classification using Scalding and Spark
Case Study III: Regression Analysis using Scalding and Spark
Case Study IV: Recommender System using Scalding and Spark
Provides a guide to the distributed computing technologies of Hadoop and Spark, from the perspective of industry practitioners
Supports the theory with case studies taken from a range of disciplines, including data mining, machine learning, graph processing and image processing
Supplies working source code to aid understanding through step-by-step implementation
Includes supplementary material: sn.pub/extras
Date de parution : 10-2016
Ouvrage de 304 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierDate de parution : 03-2015
Ouvrage de 304 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierThèmes de Guide to High Performance Distributed Computing :
Mots-clés :
Algorithms; Case Studies; Hadoop; High Performance Computing; Spark