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Data Architecture Primer Scientist by Inmon W H (33 results)
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Condition: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Published by Morgan Kaufmann Publishers, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Language: English
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Condition: Very Good. 1749436112. 6/9/2025 2:28:32 AM.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Seller: Wm Burgett Bks and Collectibles, San diego, CA, U.S.A.
Seller rating 4 out of 5 stars
First Edition
Paperback. Condition: Near Fine. First Edition. CLEAN near fine 2015 paperback.
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Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Published by Morgan Kaufmann 2014-11-26, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Language: English
US$ 51.92
US$ 20.33 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New.
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Condition: New.
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Condition: New.
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Condition: New. pp. 450.
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Condition: New. SUPER FAST SHIPPING.
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Paperback. Condition: Brand New. 2nd edition. 450 pages. 9.25x7.50x0.83 inches. In Stock.
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Condition: New.
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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 75.30
US$ 15.73 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Published by Academic Press 2019-06-01, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Paperback. Condition: New.
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Condition: New. pp. 450.
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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2019. 2nd Edition. Paperback. . . . . .
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Data Architecture: A Primer for the Data Scientist
Published by Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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
Published by Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Paperback. Condition: 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
Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 80.75
US$ 25.61 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 876.
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Condition: New. pp. 450.
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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Condition: New. 2019. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Condition: 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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Taschenbuch. Condition: Neu. Data Architecture: A Primer for the Data Scientist | Big Data, Data Warehouse and Data Vault | W. H. Inmon (u. a.) | Taschenbuch | Englisch | 2014 | Elsevier LTD | EAN 9780128020449 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Data Architecture: A Primer for the Data Scientist : A Primer for the Data Scientist
Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Condition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
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Data Architecture: A Primer for the Data Scientist
Published by Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Paperback. Condition: 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.
-
Data Architecture: A Primer for the Data Scientist
Published by Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Paperback. Condition: 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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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
