Enterprise Big Data Engineering (10 results)
Enterprise Big Data Engineering, Analytics, and Management
Atzmueller, Martin, Samia Oussena and Thomas Roth-Berghofer:
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cm, Hardcover-Großformat. Condition: Gut. 272 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entspr…echend gut. Sprache: Englisch Gewicht in Gramm: 1000.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents novel methodologies and practical approaches to engineering, managing, and analysing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts inc…luding data mining, artificial intellige.
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Buch. Condition: Neu. Enterprise Big Data Engineering, Analytics, and Management | Martin Atzmueller (u. a.) | Buch | Gebunden | Englisch | 2016 | Business Science Reference | EAN 9781522502937 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Dem…and.
- Hardcover
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and anal…ysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.
