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Impact de l'évolution de nomenclature sur le versionnement des entrepôts de données

Since data warehouses (DW) have to gather data from several sources and to cover long periods, it is not possible to let unchanged their structures and their analysis parameters. So, different solutions have been proposed to handle tracking history and versions of the structures and the dimension members (DMem) of DW. Meanwhile, the evolution of DMem nomenclatures constitutes a particular and complex type, especially when it is combined with other evolution types. Indeed, it can generate disruptions at the data storage level and at the analysis level. In this paper, we study the different cases of evolution, and more especially those relative to nomenclatures. We propose a multiversion DW management system, based on schema and DMem versioning, and we show how to treat the different cases of nomenclature evolution appropriately, by defining suitable operators.