Defining, Understanding, and Addressing Big Data

Defining, Understanding, and Addressing Big Data

Trevor J. Bihl (Department of Operational Sciences, Air Force Institute of Technology, Wright Patterson AFB, OH, USA), William A. Young II (Department of Management, Ohio University, Athens, OH, USA) and Gary R. Weckman (Department of Industrial and Systems Engineering, Ohio University, Athens, OH, USA)
Copyright: © 2016 |Pages: 32
DOI: 10.4018/IJBAN.2016040101
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Abstract

“Big Data” is an emerging term used with business, engineering, and other domains. Although Big Data is a popular term used today, it is not a new concept. However, the means in which data can be collected is more readily available than ever, which makes Big Data more relevant than ever because it can be used to improve decisions and insights within the domains it is used. The term Big Data can be loosely defined as data that is too large for traditional analysis methods and techniques. In this article, varieties of prominent but loose definitions for Big Data are shared. In addition, a comprehensive overview of issues related to Big Data is summarized. For example, this paper examines the forms, locations, methods of analyzing and exploiting Big Data, and current research on Big Data. Big Data also concerns a myriad of tangential issues, from privacy to analysis methods that will also be overviewed. Best practices will further be considered. Additionally, the epistemology of Big Data and its history will be examined, as well as technical and societal problems existing with Big Data.
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2. Underpinnings Of Big Data

To understand Big Data, one must first understand data. Beyond this simple distinction, and to vet the various expectations associated with Big Data, one must further understand how data is related to information, knowledge, and wisdom.

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