Librería: MusicMagpie, Stockport, Reino Unido
EUR 10,89
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Añadir al carritoCondición: Very Good. 1749436112. 6/9/2025 2:28:32 AM.
Publicado por Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: Buchpark, Trebbin, Alemania
EUR 18,74
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Añadir al carritoCondición: Gut. Zustand: Gut | Seiten: 431 | Sprache: Englisch | Produktart: Bücher.
Librería: Goodwill of Greater Milwaukee and Chicago, Racine, WI, Estados Unidos de America
EUR 13,88
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Añadir al carritoCondición: 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!
Librería: Wm Burgett Bks and Collectibles, San diego, CA, Estados Unidos de America
Original o primera edición
EUR 20,67
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Añadir al carritoPaperback. Condición: Near Fine. First Edition. CLEAN near fine 2015 paperback.
Publicado por Morgan Kaufmann 2014-11-26, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 45,69
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Añadir al carritoPaperback. Condición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 51,65
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 378 pages. 9.50x7.50x0.75 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 55,15
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Publicado por Elsevier Science & Technology, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 57,40
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 808.
EUR 63,61
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 450 pages. 9.25x7.50x0.83 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 67,31
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 67,18
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Añadir al carritoCondición: New. pp. 450.
Publicado por Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 70,21
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 876.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 66,01
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 81,34
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Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 78,54
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Añadir al carritoCondición: New. pp. 450.
Publicado por Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 86,08
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Añadir al carritoPaperback. Condición: 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 architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 75,09
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 76,93
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Publicado por Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 97,06
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Añadir al carritoPaperback. Condición: 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 architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 82,53
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 87,91
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Academic Press (edition 2), 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 39,93
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Añadir al carritoPaperback. Condición: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 88,56
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 61,20
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 66,20
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: moluna, Greven, Alemania
EUR 59,41
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Añadir al carritoKartoniert / Broschiert. Condición: 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.
Publicado por Elsevier Science & Technology|Academic Press, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 63,75
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 48,91
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Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 59,11
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Añadir al carritoCondición: new. Questo è un articolo print on demand.