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W. Ahmed, E. Zimányi, and R. Wrembel. Temporal Data Warehouses: Logical Models and Querying. In E. Zimányi, T. Calders, and S. Vansummeren, editors, Proceedings of the 11e Journées francophones sur les Entrepôts de Données et l'Analyse en ligne, EDA 2015, pages 33-48, Brussels, Belgium, April 2015. Editions Hermann.
© Editions Hermann 2015

Abstract

Data warehouses (DWs) integrate data from multiple and heterogeneous data sources. Most of the DW design methods assume that the contents of the dimensions in a DW will not change, but this is not the case in reality. Therefore, DWs must reflect these changes in the real-world in order to enable users to ask various types of temporal queries. Since temporal queries are complex and costly, it is necessary to know which modeling approach is better for such queries. In this paper, we discuss two possible approaches to implement a DW capable of maintaining the history of the changes in dimension members. We also present a classification of temporal queries that can be used to evaluate the two approaches.


Updated: 2017-03-27