Enterprise Big Data Engineering, Analytics, and Management

Atzmueller, Martin, Samia Oussena and Thomas Roth-Berghofer:

ISBN 10: 1522502939 / ISBN 13: 9781522502937

Editore: Business Science Reference, 2016

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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 entsprechend gut. Sprache: Englisch Gewicht in Gramm: 1000. Codice articolo 1589712

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Titolo: Enterprise Big Data Engineering, Analytics, ...

Casa editrice: Business Science Reference

Data di pubblicazione: 2016

Legatura: cm, Hardcover-Großformat

Condizione: Gut

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Riassunto:

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 analysis 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.