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Decision-Support for Selecting Big Data Reference Architectures

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Business Information Systems (BIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 353))

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Abstract

In recent years, big data systems are getting increasingly complex and require a deep domain specific knowledge. Although a multitude of reference architectures exist, it remains challenging to identify the most suitable approach for a specific use case scenario. To overcome this problem and to provide a decision support, the design science research methodology is used. By an initial literature review process and the application of the software architecture comparison analysis method, currently established big data reference architectures are identified and compared to each other. Finally, an Analytic Hierarchy Process as the main artefact is proposed, demonstrated and evaluated on a real world use-case.

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Authors and Affiliations

  1. Otto-von-Guericke-University Magdeburg, Universitaetsplatz 2, 39106, Magdeburg, Germany

    Matthias Volk, Sascha Bosse, Dennis Bischoff & Klaus Turowski

Authors
  1. Matthias Volk
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  2. Sascha Bosse
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  3. Dennis Bischoff
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  4. Klaus Turowski
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Corresponding authors

Correspondence to Matthias Volk , Sascha Bosse , Dennis Bischoff or Klaus Turowski .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. ETSI Informática, University of Seville, Seville, Spain

    Rafael Corchuelo

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Volk, M., Bosse, S., Bischoff, D., Turowski, K. (2019). Decision-Support for Selecting Big Data Reference Architectures. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-030-20485-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-20485-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20484-6

  • Online ISBN: 978-3-030-20485-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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