Authors:
Said Taktak
1
;
Saleh Alshomrani
2
;
Jamel Feki
2
and
Gilles Zurfluh
3
Affiliations:
1
University of Sfax, Tunisia
;
2
University of Jeddah, Saudi Arabia
;
3
University of Toulouse 1 Capitole, France
Keyword(s):
Data Warehouse, Evolution Modeling, OLAP Requirements, MDA, M2M, M2T.
Related
Ontology
Subjects/Areas/Topics:
Frameworks for Model-Driven Development
;
Languages, Tools and Architectures
;
Methodologies, Processes and Platforms
;
Model Transformation
;
Model Transformations and Generative Approaches
;
Model-Driven Architecture
;
Model-Driven Software Development
;
Models
;
Paradigm Trends
;
Software Engineering
Abstract:
The Data Warehouse (DW) is characterized by complex architecture, specific modeling and design
approaches. It integrates data issued from operational data sources in order to meet decision-makers’ needs
by providing answers for OLAP queries (On-Line Analytical Processing). In practice, both data source
models and decision-makers’ analytical requirements evolve over time and, therefore, lead to changes in the
DW multidimensional model. In this evolving context, we have developed the DWE (Data Warehouse
Evolution) framework. DWE automatically propagates the changes of the data source data-model on the
DW data-model. This paper proposes a model-driven approach for extending DWE in order to consider a
further related evolutionary aspect: The evolution of decision-makers’ needs. It deals with the propagation
of these evolutions on the DW multidimensional model. This approach relies on a classification of evolution
scenarios and a set of transformation rules for the identification of evolu
tion operations to apply on the DW.
(More)