Abstract
The development of a data warehouse is based on the definition of a conceptual multidimensional model. This model is used to obtain the required database metadata for implementing the data- warehouse repository. Surprisingly, current approaches for multidimensional modelling overlook the necessity of generating additional data-cube metadata to allow end-user tools to query the data warehouse. To overcome this situation, we propose an approach based on “model-driven engineering” techniques in order to automatically derive both kinds of metadata in a systematic and integrated way. Specifically, in this paper, we describe how to obtain the data-cube metadata for “on-line analytical processing” (OLAP) tools. As a proof of concept, our approach has been implemented in the Eclipse development platform, thus showing its feasibility.
Supported by the TIN2007-67078 project from the Spanish Ministry of Education and Science and FPU grants AP2006-00332 and AP2005-1360, and by the PAC08-0157-0668 project from the Castilla-La Mancha Ministry of Education and Science.
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Pardillo, J., Mazón, JN., Trujillo, J. (2008). Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses. In: Song, IY., Eder, J., Nguyen, T.M. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2008. Lecture Notes in Computer Science, vol 5182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85836-2_2
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DOI: https://doi.org/10.1007/978-3-540-85836-2_2
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