Abstract
Data warehouses are oftentimes in charge of supporting the decision finding processes in companies and public administration. To fulfil these tasks the systems model parts of real world regarding the respective application domain. But the world is changing and in such an evolving environment data warehouses can only cope with their tasks if they can be kept consistent with the real world. For that purpose they have to be able to deal with modifications in the data schema and their influence on the data values. This paper focusses on the modeling of the data transformation. We identified six different types of transformation operations. Based on the semantic analysis of these operations we present a matrix based representation for data transformation which enables us to specify the transformation results and a more efficient graph based representation, which furthermore offers potential for optimization.
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Eder, J., Wiggisser, K. (2008). Modeling Transformations between Versions of a Temporal Data Warehouse. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_10
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DOI: https://doi.org/10.1007/978-3-540-87991-6_10
Publisher Name: Springer, Berlin, Heidelberg
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