Emerging technology architecture big data (21 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2018

    3319854976 / 9783319854977

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2017

    3319548395 / 9783319548395

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319854976 / 9783319854977

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    Condizione: New. pp. 330.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319854976 / 9783319854977

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    Taschenbuch. Condizione: Neu. Emerging Technology and Architecture for Big-data Analytics | Anupam Chattopadhyay (u. a.) | Taschenbuch | xi | Englisch | 2018 | Springer | EAN 9783319854977 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer, 2017

    3319548395 / 9783319548395

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    Da: Buchpark, Trebbin, GermaniaBuchpark

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    Condizione: Usato - Ottimo

    EUR 122,03

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    Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn¿t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities.Provides a single-source reference to hardware architectures for big-data analytics;Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems;Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.

  • Lingua: Inglese

    Editore: Springer, 2017

    3319548395 / 9783319548395

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    Da: Buchpark, Trebbin, GermaniaBuchpark

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    Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn¿t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities.Provides a single-source reference to hardware architectures for big-data analytics;Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems;Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.

  • Lingua: Inglese

    Editore: Springer Verlag, 2017

    3319548395 / 9783319548395

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Hardcover. Condizione: Brand New. 330 pages. 9.25x6.25x1.00 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319854976 / 9783319854977

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 224,71

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn't work, and what are the fundamental problems, solutions, upcoming challenges and opportunities.Provides a single-source reference to hardware architectures for big-data analytics;Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems;Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.

  • Lingua: Inglese

    Editore: Springer, 2017

    3319548395 / 9783319548395

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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 - This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn't work, and what are the fundamental problems, solutions, upcoming challenges and opportunities.Provides a single-source reference to hardware architectures for big-data analytics;Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems;Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319854976 / 9783319854977

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    EUR 282,27

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    Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2017

    3319548395 / 9783319548395

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    Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer

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    EUR 369,90

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    Hardcover. Condizione: gut. 2017. Emerging Technology and Architecture for Big-data Analytics In deutscher Sprache. pages.

  • Lingua: Inglese

    Editore: Springer, 2017

    3319548395 / 9783319548395

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  • Lingua: Inglese

    Editore: Springer, 2018

    3319854976 / 9783319854977

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  • Lingua: Inglese

    Editore: Springer International Publishing Jul 2018, 2018

    3319854976 / 9783319854977

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn't work, and what are the fundamental problems, solutions, upcoming challenges and opportunities.Provides a single-source reference to hardware architectures for big-data analytics;Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems;Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics. 344 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer International Publishing Apr 2017, 2017

    3319548395 / 9783319548395

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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 -This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn't work, and what are the fundamental problems, solutions, upcoming challenges and opportunities.Provides a single-source reference to hardware architectures for big-data analytics;Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems;Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics. 344 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2018

    3319854976 / 9783319854977

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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. Provides a single-source reference to hardware architectures for big-data analytics Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems Demonstrates how non-volatile memor.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2017

    3319548395 / 9783319548395

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    Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a single-source reference to hardware architectures for big-data analytics Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems Demonstrates how non-volatile memor.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319854976 / 9783319854977

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    Condizione: New. Print on Demand pp. 330.

  • Lingua: Inglese

    Editore: Springer, 2018

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    Condizione: New. PRINT ON DEMAND pp. 330.

  • Lingua: Inglese

    Editore: Springer International Publishing, Springer International Publishing Jul 2018, 2018

    3319854976 / 9783319854977

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn¿t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer Nature Switzerland, Springer International Publishing Apr 2017, 2017

    3319548395 / 9783319548395

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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 -This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn¿t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch.