Toward Evolution Models for Data Warehouses

Saïd Taktak, Jamel Feki, Gilles Zurfluh


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).


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Paper Citation

in Harvard Style

Taktak S., Feki J. and Zurfluh G. (2014). Toward Evolution Models for Data Warehouses . In Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-007-9, pages 472-479. DOI: 10.5220/0004877304720479

in Bibtex Style

author={Saïd Taktak and Jamel Feki and Gilles Zurfluh},
title={Toward Evolution Models for Data Warehouses},
booktitle={Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},

in EndNote Style

JO - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Toward Evolution Models for Data Warehouses
SN - 978-989-758-007-9
AU - Taktak S.
AU - Feki J.
AU - Zurfluh G.
PY - 2014
SP - 472
EP - 479
DO - 10.5220/0004877304720479