Abstract
In this paper, we try to outline the goodness of using an O-O model on designing multidimensional Data Marts. We argue that multidimensional modeling is lacking in semantics, which can be obtained by using the O-O paradigm. Some benefits that could be obtained by doing this are classified in six O-O-Dimensions (i.e. Classification/Ins- tantiation, Generalization/Specialization, Aggregation/De-composition, Behavioural, Derivability, and Dynamicity), and exemplified with specific cases.
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Abelló, A., Samos, J., Saltor, F. (2001). Benefits of an Object-Oriented Multidimensional Data Model. In: Dittrich, K., Guerrini, G., Merlo, I., Oliva, M., Rodriguez, M. (eds) Objects and Databases. SODB 2000. Lecture Notes in Computer Science, vol 1944. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44677-X_10
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DOI: https://doi.org/10.1007/3-540-44677-X_10
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