Seller: SpringBooks, Berlin, Germany
First Edition
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Add to basketHardcover. Condition: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
Published by Springer International Publishing, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Language: English
Seller: Buchpark, Trebbin, Germany
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 172 | Sprache: Englisch | Produktart: Bücher.
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331986713X ISBN 13: 9783319867137
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. 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.
Published by Mechanical Industry Press, 2024
ISBN 10: 7111753445 ISBN 13: 9787111753445
Language: English
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-07 Pages: 448 Publisher: China Machine Press This book has been revised from the first edition. keeping up with new technologies in the fields of distributed computing. cloud computing and big data. and explaining the relevant technical principles and application methods based on application needs. The main contents include: the basic principles and programming development technologies of distributed computing. the principles and key technologies of .
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Springer International Publishing, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. 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.
Published by Springer International Publishing, Springer International Publishing Aug 2018, 2018
ISBN 10: 331986713X ISBN 13: 9783319867137
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. 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: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. reprint edition. 162 pages. 9.25x6.10x0.39 inches. In Stock.
Seller: California Books, Miami, FL, U.S.A.
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Seller: Mispah books, Redhill, SURRE, United Kingdom
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Add to basketPaperback. Condition: New. New. book.
Published by Springer International Publishing, Springer International Publishing Sep 2017, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketBuch. 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.
Published by Springer-Verlag New York Inc, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 160 pages. 9.25x6.25x0.50 inches. In Stock.
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Seller: Books Puddle, New York, NY, U.S.A.
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ISBN 10: 7122431940 ISBN 13: 9787122431943
Language: English
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2023-07 Pages: 216 Language: Chinese Publisher: Chemical Industry Press This book explains big data analysis from a technical perspective in a simple and easy-to-understand form through a large number of drawings and detailed explanations. This is a textbook that gradually advances from system structure construction to actual development. The knowledge points in the book include distributed processing and machine learning required for big data analysis. as well as distrib.
Published by China Water Conservancy and Hydropower Press
ISBN 10: 7522606322 ISBN 13: 9787522606323
Language: Chinese
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-08-01 Pages: 232 Publisher: China Water Conservancy and Hydropower Press Distributed Intelligent Algorithm and Its Application in Big Data mainly includes an overview of intelligent algorithm technology and big data; distributed hybrid rice based on Hadoop Algorithm; Random singular value decomposition algorithm based on Hadoop; Distributed water wave optimization algorithm based on Hadoop; Distributed association rule mining algorithm based on Spark.
Published by Springer International Publishing Aug 2018, 2018
ISBN 10: 331986713X ISBN 13: 9783319867137
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. 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.
Published by Springer International Publishing, 2018
ISBN 10: 331986713X ISBN 13: 9783319867137
Language: English
Seller: moluna, Greven, Germany
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Add to basketKartoniert / Broschiert. 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.
Published by Springer International Publishing Sep 2017, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. 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.
Published by Springer International Publishing, 2017
ISBN 10: 3319598333 ISBN 13: 9783319598338
Language: English
Seller: moluna, Greven, Germany
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Add to basketGebunden. 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: Majestic Books, Hounslow, United Kingdom
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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