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9780128169162 - Data Architecture: A Primer for the Data Scientist di Inmon, W. H.; Linstedt, Daniel; Levins, Mary (30 risultati)
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EUR 51,97
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Aggiungi al carrelloCondizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
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Data Architecture : A Primer for the Data Scientist
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Data Architecture: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Data Architecture: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 63,09
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Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Data Architecture : A Primer for the Data Scientist
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Da: Majestic Books, Hounslow, Regno Unito
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EUR 68,65
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Aggiungi al carrelloCondizione: New. pp. 450.
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DATA ARCHITECTURE A PRIMER FOR THE DATA
Da: Speedyhen LLC, Hialeah, FL, U.S.A.
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Condizione: NEW.
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Data Architecture: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
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Data Architecture : A Primer for the Data Scientist
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 63,07
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Aggiungi al carrelloCondizione: New.
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Data Architecture: A Primer for the Data Scientist (Paperback)
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: new. Paperback. Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Data Architecture: A Primer for the Data Scientist
Da: Chiron Media, Wallingford, Regno Unito
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EUR 63,41
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Aggiungi al carrelloPaperback. Condizione: New.
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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 68,65
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Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Data Architecture: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Paperback. Condizione: 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.
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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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EUR 74,82
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Spedito da Irlanda a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2019. 2nd Edition. Paperback. . . . . .
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Data Architecture : A Primer for the Data Scientist
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 70,87
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Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 450.
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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 72,29
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Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 83,90
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Aggiungi al carrelloCondizione: New. pp. 450.
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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: Kennys Bookstore, Olney, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. 2019. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
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DATA ARCHITECTURE A PRIMER FOR THE DATA
Da: Speedyhen, Hertfordshire, Regno Unito
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EUR 57,70
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Aggiungi al carrelloCondizione: New. New case studies include expanded coverage of textual management and analytics New chapters on visualization and big data Discussion of new visualizations of the end-state architectureAutor/Autorin: W.H. Inmon.
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Data Architecture: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: 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.
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Data Architecture: A Primer for the Data Scientist : A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
EUR 31,00
Spedizione EUR 105,00
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Gut. Zustand: Gut | Seiten: 431 | Sprache: Englisch | Produktart: Bücher | New case studies include expanded coverage of textual management and analytics New chapters on visualization and big data Discussion of new visualizations of the end-state architecture.
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Data Architecture: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: Rarewaves.com UK, London, Regno Unito
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EUR 75,49
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
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Data Architecture: A Primer for the Data Scientist (Paperback)
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
EUR 122,91
Spedizione EUR 31,97
Spedito da Australia a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Data Architecture: A Primer for the Data Scientist | A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
EUR 137,95
Spedizione EUR 70,00
Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Data Architecture: A Primer for the Data Scientist | A Primer for the Data Scientist | Daniel Linstedt (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2019 | Elsevier Science Publishing Co Inc | EAN 9780128169162 | Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, 99095 Erfurt, produktsicherheit[at]zeitfracht[dot]de | Anbieter: preigu.
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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Valutazione del venditore 3 su 5 stelle
EUR 59,11
Spedizione EUR 8,00
Spedito da Italia a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
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Data Architecture: A Primer for the Data Scientist
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 63,80
Spedizione EUR 14,48
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 450 pages. 9.25x7.50x0.83 inches. In Stock. This item is printed on demand.
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Data Architecture: A Primer for the Data Scientist : A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
EUR 73,67
Spedizione EUR 64,48
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
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Data Architecture: A Primer for the Data Scientist
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc Mai 2019, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 150,00
Spedizione EUR 23,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 431 pp. Englisch.
