Abstract
Data warehouses are complex systems that have to deliver highly-aggregated, high quality data from heterogeneous sources to decision makers. Due to the dynamic change in the requirements and the environment, data warehouse system rely on meta databases to control their operation and to aid their evolution. In this paper, we present an approach to assess the quality of the data warehouse via a semantically rich model of quality management in a data warehouse. The model allows stakeholders to design abstract quality goals that are translated to executable analysis queries on quality measurements in the data warehouse’s meta database. The approach is being implemented using the ConceptBase meta database system.
This work was supported in part by the European Commission in ESPRIT Long Term Research Project 22469 DWQ (Foundations of Data Warehouse Quality).
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Jeusfeld, M.A., Quix, C., Jarke, M. (1998). Design and Analysis of Quality Information for Data Warehouses. In: Ling, TW., Ram, S., Li Lee, M. (eds) Conceptual Modeling – ER ’98. ER 1998. Lecture Notes in Computer Science, vol 1507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49524-6_28
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DOI: https://doi.org/10.1007/978-3-540-49524-6_28
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