Toward Evolution Models for Data Warehouses

Taktak, Saïd, Feki, Jamel and Zurfluh, Gilles (2014) Toward Evolution Models for Data Warehouses. In: 2nd International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2014), 7 January 2014 - 9 January 2014, Lisbon, Portugal.

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Official URL: http://oatao.univ-toulouse.fr/17808/

Abstract

A Data warehouse (DW) is characterized by a complex architecture, designed in order to integrate data derived from operational data sources (DS), hence providing advanced analytical tools of these data. The DW is highly dependent on its DS. Hence, evolutions of the DS schema need to be propagated to the DW schema and content. This paper presents a model-driven approach for the evolution of a multidimensional DW. It is based on two evolution models: a first evolution model for the DS and another for the DW. These two models concern the data structure aspects as well as the evolution operations. The transition between these two models is performed through specific transformation rules defined in QVT (Query View Transformation).

Item Type: Conference or Workshop Item (Paper)
Date: 2014
Uncontrolled Keywords: Model transformation - Models - Paradigm trends - Software engineering
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 17 Apr 2019 11:59
Last Modified: 17 Apr 2019 11:59
URI: http://publications.ut-capitole.fr/id/eprint/30065

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