Acta Informatica Pragensia 2015, 4(2), 108-121 | DOI: 10.18267/j.aip.645158

AHP Model for the Big Data Analytics Platform Selection

Martin Lněnička
Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Studentska 84, 532 10 Pardubice, Czech Republic

Big data analytics refers to a set of advanced technologies, which are designed to efficiently operate and maintain data that are not only big, but also high in variety and velocity. This paper analyses these emerging big data technologies and presents a comparison of the selected big data analytics platforms through the whole data life. The main aim is then to propose and demonstrate the use of an AHP model for the big data analytics platform selection, which may be used by businesses, public sector institutions as well as citizens to solve multiple criteria decision-making problems. It would help them to discover patterns, relationships and useful information in their big data, make sense of them and to take responsive action.

Keywords: AHP model, Big data analytics, Big data life cycle, Platform selection, Decision-making

Received: July 21, 2015; Revised: September 30, 2015; Accepted: October 15, 2015; Published: December 30, 2015  Show citation

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Lněnička, M. (2015). AHP Model for the Big Data Analytics Platform Selection. Acta Informatica Pragensia, 4(2), 108-121. doi: 10.18267/j.aip.64
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