Enterprise Big Data Engineering, Analytics, and Management (e-bog) af -
Thomas (redaktør)

Enterprise Big Data Engineering, Analytics, and Management e-bog

2190,77 DKK (inkl. moms 2738,46 DKK)
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 necessar...
E-bog 2190,77 DKK
Forfattere Thomas (redaktør)
Udgivet 1 juni 2016
Genrer Business applications
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781522502951
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.