Domain/Mapping Model: A Novel Data Warehouse Data Mode

  • Ivan Bojicic Faculty of Organizational Sciences, University of Belgrade Jove Ilica 154, 11000 Belgrade, Serbia
  • Zoran Marjanovic Faculty of Organizational Sciences, University of Belgrade Jove Ilica 154, 11000 Belgrade, Serbia
  • Nina Turajlic Faculty of Organizational Sciences, University of Belgrade Jove Ilica 154, 11000 Belgrade, Serbia
  • Marko Petrovic Faculty of Organizational Sciences, University of Belgrade Jove Ilica 154, 11000 Belgrade, Serbia
  • Milica Vuckovic Faculty of Organizational Sciences, University of Belgrade Jove Ilica 154, 11000 Belgrade, Serbia
  • Vladan Jovanovic Allen E. Paulson College of Engineering and Information Technology, Georgia Southern University Statesboro, USA

Abstract

In order for a data warehouse to be able to adequately fulfill its integrative and historical purpose, its data model must enable the appropriate and consistent representation of the different states of a system. In effect, a DW data model, representing the physical structure of the DW, must be general enough, to be able to consume data from heterogeneous data sources and reconcile the semantic differences of the data source models, and, at the same time, be resilient to the constant changes in the structure of the data sources. One of the main problems related to DW development is the absence of a standardized DW data model. In this paper a comparative analysis of the four most prominent DW data models (namely the relational/normalized model, data vault model, anchor model and dimensional model) will be given. On the basis of the results of [1]a, the new DW data model (the Domain/Mapping model- DMM) which would more adequately fulfill the posed requirements is presented.

References

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Published
2017-02-28
How to Cite
BOJICIC, Ivan et al. Domain/Mapping Model: A Novel Data Warehouse Data Mode. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 12, n. 2, p. 166-182, feb. 2017. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2876>. Date accessed: 02 july 2020. doi: https://doi.org/10.15837/ijccc.2017.2.2876.

Keywords

data warehouse, data models, relational/normalized model, data vault model, anchor model, dimensional model, domain/mapping model