Big Data Governance and Perspectives in Knowledge Management. This item is unavailable.
Language: English
Published by Information Science Reference, 2018
- Softcover
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Unavailable
Softcover
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Big Data Governance and Perspectives in Knowledge Management | Sheryl Kruger Strydom (u. a.) | Taschenbuch | Englisch | 2018 | Information Science Reference | EAN 9781522587019 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller Inventory # 119078718
- Title
- Big Data Governance and Perspectives in Knowledge Management
- Author
- Sheryl Kruger Strydom (u. a.)
- Publisher
- Information Science Reference
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1522587012
- ISBN 13
- 9781522587019
- Item weight
- 828 grams
- Dimensions
- 280 x 216 x 18 mm
- Seller catalogs
- Bücher
The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth.
Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.
Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.
"Synopsis" may belong to another edition of this title.
About the Author
Sheryl Kruger Strydom is a Research Fellow in the School of Computing, University of South Africa. Her passion lies in the Information Science discipline. She is a committee member of a number of international organizations as well as an active peer reviewer. She has presented and published papers locally and internationally.
Moses Strydom is a retired Professor and recent Chair of the department of of Mechanical and Industrial Engineering at the University of South Africa. An alumni of the University of Perpignan, France (PhD) and New Mexico State University (MSc), Moses is bilingual, French-English, and for the past 30 years, as an academic, has worked in several universities in Africa, France and the USA. His research interests include computational/experimental fluid dynamics, hydrogen fuel cells; big data and robotics, and holographic technology in m-learning. He has published in several research journals and books, and presented conference papers, both nationally and internationally.
Moses Strydom is a retired Professor and recent Chair of the department of of Mechanical and Industrial Engineering at the University of South Africa. An alumni of the University of Perpignan, France (PhD) and New Mexico State University (MSc), Moses is bilingual, French-English, and for the past 30 years, as an academic, has worked in several universities in Africa, France and the USA. His research interests include computational/experimental fluid dynamics, hydrogen fuel cells; big data and robotics, and holographic technology in m-learning. He has published in several research journals and books, and presented conference papers, both nationally and internationally.
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