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Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
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Add to basketCondition: Gut. Zustand: Gut | Seiten: 431 | Sprache: Englisch | Produktart: Bücher.
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Add to basketCondition: 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!
Published by Academic Press (edition 2), 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
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Add to basketPaperback. Condition: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Published by Morgan Kaufmann 2014-11-26, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
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First Edition
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Add to basketPaperback. Condition: Near Fine. First Edition. CLEAN near fine 2015 paperback.
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Condition: New. pp. 450.
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Paperback. Condition: Brand New. 2nd edition. 450 pages. 9.25x7.50x0.83 inches. In Stock.
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Add to basketKartoniert / Broschiert. Condition: 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.
Published by Elsevier Science & Technology|Academic Press, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: 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.