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Defining Big Data

Isitor, Emmanuel and STANIER, Clare (2016) Defining Big Data. In: Big Data and Advanced Wireless Technologies, 10/11 November 2016, American University, Bulgaria. (In Press)

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Abstract or description

As Big Data becomes better understood, there is a need for a comprehensive definition of Big Data to support work in fields such as data quality for Big Data. Existing definitions of Big Data define Big Data by comparison with existing, usually relational, definitions, or define Big Data in terms of data characteristics or use an approach which combines data characteristics with the Big Data environment. In this paper we examine existing definitions of Big Data and discuss the strengths and limitations of the different approaches, with particular reference to issues related to data quality in Big Data. We identify the issues presented by incomplete or inconsistent definitions. We propose an alternative definition and relate this definition to our work on quality in Big Data

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Big Data; Data Quality; Data Quality Dimensions; Big Data characteristics
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Event Title: Big Data and Advanced Wireless Technologies
Event Location: American University, Bulgaria
Event Dates: 10/11 November 2016
Depositing User: Clare STANIER
Date Deposited: 31 Oct 2016 11:52
Last Modified: 24 Feb 2023 13:45
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