Big Data in the Industry - Overview of Selected Issues

Author:

Gierej Sylwia1

Affiliation:

1. Bialystok University of Technology

Abstract

Abstract This article reviews selected issues related to the use of Big Data in the industry. The aim is to define the potential scope and forms of using large data sets in manufacturing companies. By systematically reviewing scientific and professional literature, selected issues related to the use of mass data analytics in production were analyzed. A definition of Big Data was presented, detailing its main attributes. The importance of mass data processing technology in the development of Industry 4.0 concept has been highlighted. Subsequently, attention was paid to issues such as production process optimization, decision making and mass production individualisation, and indicated the potential for large volumes of data. As a result, conclusions were drawn regarding the potential of using Big Data in the industry.

Publisher

Walter de Gruyter GmbH

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Information Systems

Reference15 articles.

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3. [3] M. Cox and D. Ellsworth, “Managing Big Data for Scientific Visualization”, ACM SIGGRAPH, Vol. 97, May 1997, pp. 5.1-5.17.

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