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Season queries on a temporal multidimensional model for OLAP

โœ Scribed by Francisco Moreno; Renato Fileto; Fernando Arango

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
547 KB
Volume
52
Category
Article
ISSN
0895-7177

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โœฆ Synopsis

Dimensions are usually considered static in a data warehouse. However, because of changing requirements, dimension data and dimension structure can evolve. In this paper we focus on a type of dimension data change called reclassification, i.e., when a member of a level changes its parent in a higher level of a dimension. This kind of change gives rise to the notion of season, i.e., an interval during which two members of a dimension are associated with each other. In this paper we extend a formal temporal multidimensional model with the notion of season and propose query language constructs to enable season queries. A case study about soccer illustrates the application of the proposed extensions, exemplified with several season queries.

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