Distributed computing big data (30 risultati)

Lingua: Inglese
Editore: Springer, 2017
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Da: SpringBooks, Berlin, GermaniaSpringBooks
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paperback. Condizione: 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 advance…s 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.

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paperback. Condizione: 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 applica…tion 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 .

Lingua: Inglese
Editore: Springer, 2018
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.

Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Mazumder, Sourav (EDT); Bhadoria, Robin Singh (EDT); Deka, Ganesh Chandra (EDT)
Lingua: Inglese
Editore: Springer, 2017
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Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2018
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: 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. T…he 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.

Lingua: Inglese
Editore: Springer, 2018
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Distributed Computing in Big Data Analytics | Concepts, Technologies and Applications | Sourav Mazumder (u. a.) | Taschenbuch | Scalable Computing and Communications | x | Englisch | 2018 | Springer | EAN 9783319867137 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 691…21 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Springer, 2017
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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Mazumder, Sourav (EDT); Bhadoria, Robin Singh (EDT); Deka, Ganesh Chandra (EDT)
Lingua: Inglese
Editore: Springer, 2017
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Lingua: Inglese
Editore: Springer, 2017
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: 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 anal…ytics. 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.

Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Mazumder, Sourav (EDT); Bhadoria, Robin Singh (EDT); Deka, Ganesh Chandra (EDT)
Lingua: Inglese
Editore: Springer, 2017
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications (Scalable Computing and Communications)
Mazumder, Sourav (Editor) / Singh Bhadoria, Robin (Editor) / Deka, Ganesh Chandra (Editor)
Lingua: Inglese
Editore: Springer, 2018
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. reprint edition. 162 pages. 9.25x6.10x0.39 inches. In Stock.

Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Mazumder, Sourav (EDT); Bhadoria, Robin Singh (EDT); Deka, Ganesh Chandra (EDT)
Lingua: Inglese
Editore: Springer, 2017
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: Springer, Springer, 2017
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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 mech…anisms 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.

Lingua: Inglese
Editore: Springer, 2018
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications
Mazumder, Sourav (Editor)/ Bhadoria, Robin Singh (Editor)/ Deka, Ganesh Chandra (Editor)
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2017
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Lingua: Inglese
Editore: Springer, 2017
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Da: liu xing, Nanjing, JS, Cinaliu xing
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paperback. Condizione: 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 Al…gorithm; Random singular value decomposition algorithm based on Hadoop; Distributed water wave optimization algorithm based on Hadoop; Distributed association rule mining algorithm based on Spark.

Lingua: Inglese
Editore: Springer, 2018
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Lingua: Inglese
Editore: Springer, 2018
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Lingua: Inglese
Editore: Springer International Publishing Aug 2018, 2018
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Taschenbuch. Condizione: 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.

Lingua: Inglese
Editore: Springer, 2017
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Lingua: Inglese
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Lingua: Inglese
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Condizione: 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 dat…a technologies and analytics. The mech.

Lingua: Inglese
Editore: Springer International Publishing Sep 2017, 2017
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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 ana…lytics. 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.

Lingua: Inglese
Editore: Springer, 2018
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Lingua: Inglese
Editore: Springer, 2018
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Lingua: Inglese
Editore: Springer, Springer Aug 2018, 2018
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Addresses key concepts and patterns of distributed computing to provide practitioners with insight while designing big data analytics use casesDetails how different big data technologies leverage those key concepts and patterns of dist…ributed computingIncludes applications, such as IoT, cognitive analytics, social media analytics and scientific data analyticsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.

Lingua: Inglese
Editore: Springer International Publishing, 2017
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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 dat…a technologies and analytics. The mech.

Lingua: Inglese
Editore: Springer, Springer Sep 2017, 2017
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Addresses key concepts and patterns of distributed computing to provide practitioners with insight while designing big data analytics use casesDetails how different big data technologies leverage those key concepts and patterns of distributed… computingIncludes applications, such as IoT, cognitive analytics, social media analytics and scientific data analyticsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.