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Big Data Principles Paradigms (19 results)
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Big Data: Principles and Paradigms
Published by Morgan Kaufmann Publishers, 2016
ISBN 10: 0128053941 ISBN 13: 9780128053942
Language: English
Paperback. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Big Data: Principles and Paradigms
Published by Elsevier Science & Technology, United States, San Francisco, 2016
ISBN 10: 0128053941 ISBN 13: 9780128053942
Language: English
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Datas full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Big Data: Principles and Paradigms
Seller: Webster's Bookstore Cafe, Inc., State College, PA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good. Light shelf wear. Else clean and tight.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Big Data: Principles and Paradigms
Published by Morgan Kaufmann 2016-06-03, 2016
ISBN 10: 0128053941 ISBN 13: 9780128053942
Language: English
Paperback. Condition: New.
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Condition: New. pp. 502.
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Condition: New. pp. 502.
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Big Data: Principles and Paradigms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Big Data: Principles and Paradigms
Published by Elsevier Science & Technology, 2016
ISBN 10: 0128053941 ISBN 13: 9780128053942
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 1037.
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Condition: New. pp. 502.
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Big Data : Principles and Paradigms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Big Data: Principles and Paradigms
Published by Morgan Kaufmann 2016-06-03, 2016
ISBN 10: 0128053941 ISBN 13: 9780128053942
Language: English
Paperback. Condition: New.
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Big Data : Principles and Paradigms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. Big Data | Principles and Paradigms | Rajkumar Buyya (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2016 | Morgan Kaufmann | EAN 9780128053942 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Paperback. Condition: Brand New. 502 pages. 9.00x7.50x1.25 inches. In Stock. This item is printed on demand.
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Big Data: Principles and Paradigms
Published by Elsevier Science & Technology, 2016
ISBN 10: 0128053941 ISBN 13: 9780128053942
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1037.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.
