Data Warehouses (DWs) become essential components for companies and organizations.DWdesign field has been actively researched in recent years. The main limitation of the proposedapproaches is the lack of an overall vision covering the DW design cycle. Our main contributionin this thesis is to propose a method adapted to recent evolutions of the DW design cycle,and covering all its phases. These evolutions have given rise to new data storage models andnew deployment architectures, which offers different design choices for designers and administrators.DW literature recognizes the importance of user requirements in the design process, andthe importance of accessing and representing data semantics. We propose an ontology drivendesign method that valorizes users’ requirements by providing them a persistent view in theDW structure. This view allows anticipating diverse design tasks and simulating different designchoices. Our second proposal revisits the design cycle by executing the ETL phase (extractiontransformation-loading of data) in the conceptual stage. This proposal allows a deployment à lacarte of the DW using the different deployment platforms available.
