Da: MusicMagpie, Stockport, Regno Unito
EUR 10,91
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: Very Good. 1726669507. 9/18/2024 2:25:07 PM.
Da: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.
EUR 15,05
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Aggiungi al carrelloCondizione: good. The cover has visible markings and wear. The cover has curled corners. The pages show normal wear and tear. Codes or product keys that accompany this product may not be valid. Fast Shipping in a Standard Poly Mailer!
Da: Wm Burgett Bks and Collectibles, San diego, CA, U.S.A.
Prima edizione
EUR 21,50
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Near Fine. First Edition. CLEAN near fine 2015 paperback.
Editore: Academic Press (edition 2), 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
EUR 41,17
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Aggiungi al carrelloPaperback. Condizione: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Da: Revaluation Books, Exeter, Regno Unito
EUR 53,17
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 378 pages. 9.50x7.50x0.75 inches. In Stock.
EUR 57,36
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Aggiungi al carrelloCondizione: New.
Editore: Morgan Kaufmann 2014-11-26, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 47,04
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Aggiungi al carrelloPaperback. Condizione: New.
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
EUR 18,74
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Aggiungi al carrelloCondizione: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Außen: verschmutzt, angestoßen. Innen: Geknickt. | Seiten: 431 | Sprache: Englisch | Produktart: Bücher.
EUR 68,68
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Aggiungi al carrelloCondizione: New.
EUR 69,94
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 71,47
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 65,50
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 450 pages. 9.25x7.50x0.83 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 69,87
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Aggiungi al carrelloCondizione: New. pp. 450.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 67,44
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Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,04
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Aggiungi al carrelloCondizione: New.
Da: Chiron Media, Wallingford, Regno Unito
EUR 65,92
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 70,62
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Books Puddle, New York, NY, U.S.A.
EUR 83,05
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 450.
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 77,20
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Aggiungi al carrelloCondizione: New. 2019. 2nd Edition. Paperback. . . . . .
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 72,54
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 76,58
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days. 876.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 84,26
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 450.
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Lingua: Inglese
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 95,29
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Aggiungi al carrelloCondizione: New. 2019. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
Da: Russell Books, Victoria, BC, Canada
EUR 96,22
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloSoftcover. Condizione: New. Special order direct from the distributor.
Editore: Elsevier Science & Technology|Academic Press, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 71,84
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Aggiungi al carrelloCondizione: New. Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architec.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 61,20
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big Data Understand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data Discusses the value in Big Data that is often overlooked, non-repetitive data, and why there is significant business value in using it Shows how to turn textual information into a form that can be analyzed by standard tools Explains how Big Data fits within an existing systems environment Presents new opportunities that are afforded by the advent of Big Data Demystifies the murky waters of repetitive and non-repetitive data in Big Data 378 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 66,20
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big Data Understand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data Discusses the value in Big Data that is often overlooked, non-repetitive data, and why there is significant business value in using it Shows how to turn textual information into a form that can be analyzed by standard tools Explains how Big Data fits within an existing systems environment Presents new opportunities that are afforded by the advent of Big Data Demystifies the murky waters of repetitive and non-repetitive data in Big Data.
Da: moluna, Greven, Germania
EUR 59,41
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the.