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Design and Analysis of Quality Information for Data Warehouses

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Design and Analysis of Quality Information for Data Warehouses
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.
Manfred A. Jeusfeld, Christoph Quix, Matthias Jark
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where ER
Authors Manfred A. Jeusfeld, Christoph Quix, Matthias Jarke
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