Librería: MusicMagpie, Stockport, Reino Unido
EUR 10,90
Convertir monedaCantidad disponible: 1 disponibles
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
Convertir monedaCantidad disponible: 1 disponibles
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 14,19
Convertir monedaCantidad disponible: 1 disponibles
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 21,14
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Near Fine. First Edition. CLEAN near fine 2015 paperback.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 51,70
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 1st edition. 378 pages. 9.50x7.50x0.75 inches. In Stock.
Publicado por Morgan Kaufmann 2014-11-26, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 45,73
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 66,33
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 63,68
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 450 pages. 9.25x7.50x0.83 inches. In Stock.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 63,24
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: New.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 75,26
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 450.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 68,56
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 69,64
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 70,53
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
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 85,73
Convertir monedaCantidad disponible: 2 disponibles
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.
Publicado por Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 91,60
Convertir monedaCantidad disponible: 2 disponibles
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.
Publicado por Elsevier Science & Technology|Academic Press, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 71,84
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: 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.
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 93,26
Convertir monedaCantidad disponible: 2 disponibles
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.
Publicado por Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 93,73
Convertir monedaCantidad disponible: 2 disponibles
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: Books Puddle, New York, NY, Estados Unidos de America
EUR 87,22
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 450.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 88,54
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 450.
Publicado por Academic Press (edition 2), 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 40,84
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Librería: moluna, Greven, Alemania
EUR 59,41
Convertir monedaCantidad disponible: Más de 20 disponibles
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.