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Hardcover. Condition: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
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Condition: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Book 2 of 3: Scalable Computing and CommunicationsLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331986713X ISBN 13: 9783319867137
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.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
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Distributed Computing in Big Data Analytics (Scalable Computing and Communications)
Book 2 of 3: Scalable Computing and CommunicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 124.30
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Book 2 of 3: Scalable Computing and CommunicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 124.29
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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. reprint edition. 162 pages. 9.25x6.10x0.39 inches. In Stock.
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Distributed Computing in Big Data Analytics
Book 2 of 3: Scalable Computing and CommunicationsLanguage: English
Published by Springer International Publishing, Springer International Publishing Aug 2018, 2018
ISBN 10: 331986713X ISBN 13: 9783319867137
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
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.
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Book 2 of 3: Scalable Computing and CommunicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 141.14
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Book 2 of 3: Scalable Computing and CommunicationsLanguage: English
Published by Springer International Publishing, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Buch. 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.
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Distributed Computing in Big Data Analytics
Book 2 of 3: Scalable Computing and CommunicationsLanguage: English
Published by Springer International Publishing, Springer International Publishing Sep 2017, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. 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.
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Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications
Book 2 of 3: Scalable Computing and CommunicationsLanguage: English
Published by Springer-Verlag New York Inc, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Hardcover. Condition: Brand New. 160 pages. 9.25x6.25x0.50 inches. In Stock.
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Handbook of Integration of Cloud Computing, Cyber Physical Systems and Internet of Things (Scalable Computing and Communications)
Book 3 of 3: Scalable Computing and CommunicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 184.30
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Handbook of Large-Scale Distributed Computing in Smart Healthcare (Scalable Computing and Communications)
Book 1 of 3: Scalable Computing and CommunicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 184.62
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Handbook of Integration of Cloud Computing, Cyber Physical Systems and Internet of Things (Scalable Computing and Communications)
Book 3 of 3: Scalable Computing and CommunicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 184.62
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Handbook of Large-scale Distributed Computing in Smart Healthcare
Book 1 of 3: Scalable Computing and CommunicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 184.61
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Add to basketCondition: New.
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Handbook of Integration of Cloud Computing, Cyber Physical Systems and Internet of Things
Book 3 of 3: Scalable Computing and CommunicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 184.61
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
