Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark - Couverture souple
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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
Edité par
Springer International Publishing Okt 2016, 2016
ISBN 10 : 3319383477
ISBN 13 : 9783319383477
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 324 pp. Englisch. N° de réf. du vendeur 9783319383477
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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (Computer Communications and Networks)
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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (Computer Communications and Networks)
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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (Computer Communications and Networks)
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Etat : New. PRINT ON DEMAND pp. 304. N° de réf. du vendeur 18375086059
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Guide to High Performance Distributed Computing: Case Studies With Hadoop, Scalding and Spark
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Springer-Verlag New York Inc, 2016
ISBN 10 : 3319383477
ISBN 13 : 9783319383477
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Paperback. Etat : Brand New. reprint edition. 324 pages. 9.25x6.10x0.73 inches. In Stock. N° de réf. du vendeur 3319383477
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Guide to High Performance Distributed Computing
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319383477
ISBN 13 : 9783319383477
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a guide to the distributed computing technologies of Hadoop and Spark, from the perspective of industry practitionersSupports the theory with case studies taken from a range of disciplines, including data mining, machine learning, graph p. N° de réf. du vendeur 448749044
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Guide to High Performance Distributed Computing
ISBN 10 : 3319383477
ISBN 13 : 9783319383477
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch. N° de réf. du vendeur 9783319383477
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Guide to High Performance Distributed Computing : Case Studies with Hadoop, Scalding and Spark
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319383477
ISBN 13 : 9783319383477
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319383477
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Guide to High Performance Distributed Computing | Case Studies with Hadoop, Scalding and Spark
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319383477
ISBN 13 : 9783319383477
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Guide to High Performance Distributed Computing | Case Studies with Hadoop, Scalding and Spark | Anil Kumar Muppalla (u. a.) | Taschenbuch | xvii | Englisch | 2016 | Springer International Publishing | EAN 9783319383477 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 102876763
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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (Computer Communications and Networks)
Edité par
Springer, 2016
ISBN 10 : 3319383477
ISBN 13 : 9783319383477
Ancien ou d'occasion
Paperback
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Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA80033193834776
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