MAC: Conceptual data modeling for OLAP

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MAC: Conceptual data modeling for OLAP
In this paper we address the issue of conceptual modeling of data used in multidimensional analysis. We view the problem from the end-user point of view and we describe a set of requirements for the conceptual modeling of realworld OLAP scenarios. Based on those requirements we then define a new conceptual model that intends to capture the static properties of the involved information. In its definition we use a minimal set of well-understood OLAP concepts like dimensions, levels, hierarchies, measures and cubes. The central concept of the model is the Multidimensional Aggregation Cube (MAC), which gives a broad and flexible definition to the notion of a multidimensional cube. We evaluate our model against other existing multidimensional models and show that MAC offers a unique combination of modeling skills. Our main contribution is the definition of the basic concepts of our model; although the set of requirements and the evaluation of all related models against those requirements r...
Aris Tsois, Nikos Karayannidis, Timos K. Sellis
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where DMDW
Authors Aris Tsois, Nikos Karayannidis, Timos K. Sellis
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