Da: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Lingua: Inglese
Editore: Morgan Kaufmann Publishers, 2013
ISBN 10: 0124045766 ISBN 13: 9780124045767
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Da: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Trade Paperback. Condizione: Fine. First Edition, First Printing. This is a fine, unmarked, first edition, first printing paperback copy, blue spine. This is the real US edition, not a cheap international.
Da: BGV Books LLC, Murray, KY, U.S.A.
Condizione: Good. Exact ISBN match. Immediate shipping. No funny business.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
EUR 56,57
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 288 3:B&W 7.5 x 9.25 in or 235 x 191 mm Perfect Bound on White w/Gloss Lam.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 61,96
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Morgan Kaufmann 2013-05-30, 2013
ISBN 10: 0124045766 ISBN 13: 9780124045767
Da: Chiron Media, Wallingford, Regno Unito
EUR 46,51
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Elsevier Science and Technology, US, 2013
ISBN 10: 0124045766 ISBN 13: 9780124045767
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 74,35
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.
Condizione: New. pp. 288.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 72,43
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Elsevier Science & Technology, 2013
ISBN 10: 0124045766 ISBN 13: 9780124045767
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 59,34
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 66,78
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 288.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 62,24
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Morgan Kaufmann Publishers Inc. 2013-06, 2013
ISBN 10: 0124045766 ISBN 13: 9780124045767
Da: Chiron Media, Wallingford, Regno Unito
EUR 64,02
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 74,17
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Elsevier Science and Technology, US, 2013
ISBN 10: 0124045766 ISBN 13: 9780124045767
Da: Rarewaves.com UK, London, Regno Unito
EUR 69,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.
Da: preigu, Osnabrück, Germania
EUR 129,55
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Principles of Big Data | Preparing, Sharing, and Analyzing Complex Information | Jules J Berman | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2013 | Morgan Kaufmann | EAN 9780124045767 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 48,87
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Revaluation Books, Exeter, Regno Unito
EUR 52,23
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 288 pages. 9.25x7.50x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier Science & Technology, 2013
ISBN 10: 0124045766 ISBN 13: 9780124045767
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 78,29
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 108,28
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 150,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Englisch.