9783319598338 - distributed computing in big data analytics: concepts, technologies and applications di mazumder (15 risultati)
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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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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Editore: Springer, 2017
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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.
- Altre immagini
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
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.
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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Hardcover. Condizione: Brand New. 160 pages. 9.25x6.25x0.50 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2017
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Lingua: Inglese
Editore: Springer, 2017
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Lingua: Inglese
Editore: Springer, 2017
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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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.
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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.
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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.
