Critical Success Factors for Data Virtualization: A Literature Review

نویسندگان

  • Helmut Krcmar Technical University of Munich, Chair for Information Systems (i17), Boltzmannstr. 3, 85748 Garching by Munich
  • Isabel Fuhrmann Technical University of Munich, Chair for Information Systems (i17), Boltzmannstr. 3, 85748 Garching by Munich
  • Markus Böhm Technical University of Munich, Chair for Information Systems (i17), Boltzmannstr. 3, 85748 Garching by Munich
  • Marwin Shraideh Technical University of Munich, Chair for Information Systems (i17), Boltzmannstr. 3, 85748 Garching by Munich
  • Matthias Gottlieb Technical University of Munich, Chair for Information Systems (i17), Boltzmannstr. 3, 85748 Garching by Munich
چکیده مقاله:

Data Virtualization (DV) has become an important method to store and handle data cost-efficiently. However, it is unclear what kind of data and when data should be virtualized or not. We applied a design science approach in the first stage to get a state of the art of DV regarding data integration and to present a concept matrix. We extend the knowledge base with a systematic literature review resulting in 15 critical success factors for DV. Practitioners can use these critical success factors to decide between DV and Extract, Transform, Load (ETL) as data integration approach.

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عنوان ژورنال

دوره 11  شماره Special Issue

صفحات  131- 137

تاریخ انتشار 2019-07-01

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