Authors:
Mohamed Neji
;
Ahlem Nabli
;
Jamel Feki
and
Faiez Gargouri
Affiliation:
Laboratory MIRACL, ISIM Institute, Tunisia
Keyword(s):
Data warehouse, Data mart, Schema evolution, OLAP requirement.
Related
Ontology
Subjects/Areas/Topics:
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
Abstract:
Multidimensional databases are an effective support for OLAP processes. They improve the enterprise
decision-making. These databases evolve with the decision maker requirements evolution and, are sensitive to data source changes. In this paper, we are interested in the evolution of the data mart schema due to the raise of new OLAP needs. Our approach determines first, what functional data marts will be able to cover a new requirement, if any, and secondly, decides on a strategy of integration. This leads either to the alteration of an existing data mart schema or, to the creation of a new schema suitable for the new requirement.