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Ajouter au panierEtat : Very Good. 1726669507. 9/18/2024 2:25:07 PM.
Edité par Elsevier Science Publishing Co Inc, 2019
ISBN 10 : 0128169168 ISBN 13 : 9780128169162
Langue: anglais
Vendeur : Buchpark, Trebbin, Allemagne
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Ajouter au panierEtat : Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Außen: verschmutzt, angestoßen. Innen: Geknickt. | Seiten: 431 | Sprache: Englisch | Produktart: Bücher.
Vendeur : Goodwill of Greater Milwaukee and Chicago, Racine, WI, Etats-Unis
EUR 15,15
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Ajouter au panierEtat : 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!
Edité par Academic Press (edition 2), 2019
ISBN 10 : 0128169168 ISBN 13 : 9780128169162
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
EUR 41,43
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Ajouter au panierPaperback. Etat : Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Vendeur : Grumpys Fine Books, Tijeras, NM, Etats-Unis
EUR 25,65
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Ajouter au panierPaperback. Etat : very good. little wear and tear.
Vendeur : Wm Burgett Bks and Collectibles, San diego, CA, Etats-Unis
Edition originale
EUR 21,63
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Ajouter au panierPaperback. Etat : Near Fine. First Edition. CLEAN near fine 2015 paperback.
Edité par Morgan Kaufmann 2014-11-26, 2014
ISBN 10 : 012802044X ISBN 13 : 9780128020449
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 47,04
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Ajouter au panierPaperback. Etat : New.
Vendeur : Grumpys Fine Books, Tijeras, NM, Etats-Unis
EUR 33,55
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Ajouter au panierPaperback. Etat : new. Prompt service guaranteed.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 53,18
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Ajouter au panierPaperback. Etat : Brand New. 1st edition. 378 pages. 9.50x7.50x0.75 inches. In Stock.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 57,71
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Ajouter au panierEtat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 70,63
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Ajouter au panierEtat : New. In.
EUR 65,50
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Ajouter au panierPaperback. Etat : Brand New. 2nd edition. 450 pages. 9.25x7.50x0.83 inches. In Stock.
Edité par Academic Press 2019-06-01, 2019
ISBN 10 : 0128169168 ISBN 13 : 9780128169162
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 65,93
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Ajouter au panierPaperback. Etat : New.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 67,44
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Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 70,37
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Ajouter au panierEtat : New.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 70,30
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Ajouter au panierEtat : New. pp. 450.
Edité par Elsevier Science Publishing Co Inc, 2019
ISBN 10 : 0128169168 ISBN 13 : 9780128169162
Langue: anglais
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 75,26
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Ajouter au panierEtat : New. 2019. 2nd Edition. Paperback. . . . . .
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 65,05
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Ajouter au panierEtat : New.
Edité par Elsevier Science & Technology|Academic Press, 2019
ISBN 10 : 0128169168 ISBN 13 : 9780128169162
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 71,84
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Ajouter au panierEtat : 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.
Edité par Elsevier Science Publishing Co Inc, 2019
ISBN 10 : 0128169168 ISBN 13 : 9780128169162
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 76,59
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 3 working days. 876.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 69,10
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 71,45
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 72,45
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 83,56
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Ajouter au panierEtat : New. pp. 450.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 84,26
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Ajouter au panierEtat : New. pp. 450.
Edité par Elsevier Science Publishing Co Inc, 2019
ISBN 10 : 0128169168 ISBN 13 : 9780128169162
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 93,87
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Ajouter au panierEtat : New. 2019. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
Vendeur : Russell Books, Victoria, BC, Canada
EUR 96,81
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Ajouter au panierSoftcover. Etat : New. Special order direct from the distributor.
Vendeur : moluna, Greven, Allemagne
EUR 59,41
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Ajouter au panierKartoniert / Broschiert. Etat : 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.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 61,20
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 66,20
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.