A multidimensional and multiversion structure for OLAP applications

  • Authors:
  • Mathurin Body;Maryvonne Miquel;Yvan Bédard;Anne Tchounikine

  • Affiliations:
  • CRG/LISI, Villeurbanne France;LISI-INSA de Lyon, Villeurbanne, France;Université Laval, Qc, Canada;LISI-INSA de Lyon, Villeurbanne, France

  • Venue:
  • Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
  • Year:
  • 2002

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Abstract

When changes occur on data organization, conventional multidimensional structures are not adapted because dimensions are supposed to be static. In many cases, especially when time covered by the data warehouse is large, dimensions of the hypercube must be redesigned in order to integrate evolutions. We propose an approach allowing to track history but also to compare data, mapped into static structures. We define a conceptual model building a Mutiversion Fact Table from the Temporal Multidimensional Schema and we introduce the notion of temporal modes of representation corresponding to different ways to analyze data and their evolution.