Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications (Scalable Computing and Communications) - Softcover
Synopsis
Addresses key concepts and patterns of distributed computing to provide practitioners with insight while designing big data analytics use cases
Details how different big data technologies leverage those key concepts and patterns of distributed computing
Includes applications, such as IoT, cognitive analytics, social media analytics and scientific data analytics
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Distributed Computing in Big Data Analytics
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Springer International Publishing Aug 2018, 2018
ISBN 10: 331986713X
ISBN 13: 9783319867137
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies. 172 pp. Englisch. Seller Inventory # 9783319867137
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
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Distributed Computing in Big Data Analytics
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Springer International Publishing, 2018
ISBN 10: 331986713X
ISBN 13: 9783319867137
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mech. Seller Inventory # 448760120
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
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Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331986713X
ISBN 13: 9783319867137
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies. Seller Inventory # 9783319867137
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Distributed Computing in Big Data Analytics | Concepts, Technologies and Applications
Published by
Springer International Publishing, 2018
ISBN 10: 331986713X
ISBN 13: 9783319867137
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Taschenbuch. Condition: Neu. Distributed Computing in Big Data Analytics | Concepts, Technologies and Applications | Sourav Mazumder (u. a.) | Taschenbuch | x | Englisch | 2018 | Springer International Publishing | EAN 9783319867137 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 115378150
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Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications (Scalable Computing and Communications)
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Paperback. Condition: Brand New. reprint edition. 162 pages. 9.25x6.10x0.39 inches. In Stock. Seller Inventory # 331986713X
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Distributed Computing in Big Data Analytics
ISBN 10: 331986713X
ISBN 13: 9783319867137
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations.Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch. Seller Inventory # 9783319867137
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Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications (Scalable Computing and Communications)
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