Modelling of the joint evolution of analysis needs and data warehouse

 
 
 
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  • Abstract


    The decision support system, a set of data, is specifically organized, appropriate and accessible in decision-making. It stems from the data warehouse taking into account the users in this development. However, data warehouse is a complex technology in decision-making systems. Then, we highlight a new approach to the data warehouse model in this paper about the joint evolution of user and data warehouse needs. This model is based on rules combining R-DW (Data-based Data Warehouse) and MDA (Model Driven Architecture) models. As a result, this new approach makes it possible to integrate the knowledge of the users while favoring a temporal evolution of the possibilities of analysis.

     

     



  • Keywords


    Decision Support System; Evolution Model; Data Warehouse.

  • References


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      [4] Favre C., F. Bentayeb, O. Boussaid. Dimension hierarchies updates in data warehouses: a user-driven approach. In Proceedings of the 9th International Conference on Enterprise Information Systems, ICEIS 07, Madeira, Portugal, pp. 206–211.

      [5] Jean-Fabrice Lebraty. Les systèmes décisionnels. Akoka, A, Comyn-Wattiau, I. Encyclopédie de l’informatique et des systèmes d’information, Vuibert, pp.1338-1349, 2006.

      [6] Taktak Saïd, Feki Jamel, Zurfluh Gilles. Modélisation des transformations pour l'évolution de modèles multidimensionnels.EDA 2014, 5 June 2014-6 June 2014. Vichy, France.

      [7] Talwar K., A. Gosain. Implementing schema evolution in data warehouse through complex hierarchy semantics. International Journal of Scientific and Engineering Research, 3, 917-922, 2012.


 

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Article ID: 16949
 
DOI: 10.14419/ijet.v7i4.16949




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