Deployment of a Descriptive Big Data Model

Marco Pospiech () and Carsten Felden ()
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Marco Pospiech: Technische Universität Bergakademie
Carsten Felden: Technische Universität Bergakademie

A chapter in Business Intelligence for New-Generation Managers, 2015, pp 77-95 from Springer

Abstract: Abstract Big Data is an emerging research topic. The term remains fuzzy and jeopardizes to become an umbrella term. Straight forward investigations are inhibited since the research field is not well defined, yet. To identify a common understanding, experts have been interviewed. Hereby, the findings are coded and conceptualized until a descriptive Big Data model is developed by using Grounded Theory. This provides the basis for the model’s deployment. Here, academic publications and practical implementations marked as Big Data are classified. It becomes evident that Big Data is use-case driven and forms an interdisciplinary research field. Even not all papers belong to this research field. The findings become confirmed by the practical implementations. The chapter contributes to the intensive discussion about the term Big Data in illustrating the underlying area of discourse. A classification to set the research area apart from others can be achieved to support a goal oriented research in future.

Keywords: Big Data; Grounded theory; Interview; Qualitative research (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-15696-5_7

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DOI: 10.1007/978-3-319-15696-5_7

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