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Enterprise Big Data Engineering, Analytics, and Management

Enterprise Big Data Engineering, Analytics, and Management

Copyright: © 2016 |Pages: 272
ISBN13: 9781522502937|ISBN10: 1522502939|EISBN13: 9781522502944
DOI: 10.4018/978-1-5225-0293-7
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MLA

Atzmueller, Martin, et al., editors. Enterprise Big Data Engineering, Analytics, and Management. IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0293-7

APA

Atzmueller, M., Oussena, S., & Roth-Berghofer, T. (Eds.). (2016). Enterprise Big Data Engineering, Analytics, and Management. IGI Global. https://doi.org/10.4018/978-1-5225-0293-7

Chicago

Atzmueller, Martin, Samia Oussena, and Thomas Roth-Berghofer, eds. Enterprise Big Data Engineering, Analytics, and Management. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0293-7

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Business Information Systems and Analytics (ABISA) Book Series
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Editorial Advisory Board
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Foreword
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Preface
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Chapters
Chapter 1
Foundational Issues  (pages 20-20)
Foundational Issues
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Chapter 2
Tools and Methods  (pages 65-65)
Tools and Methods
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Chapter 3
Case Studies and Application Areas
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Back Materials
Compilation of References
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About the Contributors
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Index
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