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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
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Sprache: Englisch
Verlag: Springer International Publishing, 2018
ISBN 10: 331981589X ISBN 13: 9783319815893
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Conquering Big Data with High Performance Computing | Ritu Arora | Taschenbuch | viii | Englisch | 2018 | Springer International Publishing | EAN 9783319815893 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331981589X ISBN 13: 9783319815893
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing. Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop. Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319337408 ISBN 13: 9783319337401
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing. Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop. Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2016
ISBN 10: 3319337408 ISBN 13: 9783319337401
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In den WarenkorbHardcover. Zustand: Brand New. 340 pages. 9.25x6.25x1.00 inches. In Stock.
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Sprache: Englisch
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ISBN 10: 3319337408 ISBN 13: 9783319337401
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents curated information on state-of-the-practice in conquering Big Data challenges by leveraging HPC/HTCCovers the landscape of open-science datacenters & resources very useful for those professionals who are current.
Sprache: Englisch
Verlag: Springer International Publishing, 2018
ISBN 10: 331981589X ISBN 13: 9783319815893
Anbieter: moluna, Greven, Deutschland
EUR 153,73
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents curated information on state-of-the-practice in conquering Big Data challenges by leveraging HPC/HTCCovers the landscape of open-science datacenters & resources very useful for those professionals who are current.
Sprache: Englisch
Verlag: Springer International Publishing Apr 2018, 2018
ISBN 10: 331981589X ISBN 13: 9783319815893
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing. Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop. Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable. 340 pp. Englisch.
Sprache: Englisch
Verlag: Springer International Publishing Sep 2016, 2016
ISBN 10: 3319337408 ISBN 13: 9783319337401
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing. Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop. Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable. 340 pp. Englisch.
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In den WarenkorbZustand: New. Print on Demand pp. 337.
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In den WarenkorbZustand: New. Print on Demand pp. 310.
Sprache: Englisch
Verlag: Springer International Publishing, 2016
ISBN 10: 3319337408 ISBN 13: 9783319337401
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Conquering Big Data with High Performance Computing | Ritu Arora | Buch | viii | Englisch | 2016 | Springer International Publishing | EAN 9783319337401 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. 337.
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Zustand: New. PRINT ON DEMAND pp. 310.