Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
