Skip to Main content Skip to Navigation
Conference papers

Toward Evolution Models for Data Warehouses

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).
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download
Contributor : Open Archive Toulouse Archive Ouverte (OATAO) Connect in order to contact the contributor
Submitted on : Thursday, June 1, 2017 - 11:47:29 AM
Last modification on : Wednesday, June 1, 2022 - 4:41:33 AM
Long-term archiving on: : Wednesday, September 6, 2017 - 6:46:17 PM


Files produced by the author(s)


  • HAL Id : hal-01531165, version 1
  • OATAO : 17808


Saïd Taktak, Jamel Feki, Gilles Zurfluh. Toward Evolution Models for Data Warehouses. 2nd International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2014), Jan 2014, Lisbon, Portugal. pp. 472-479. ⟨hal-01531165⟩



Record views


Files downloads