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2008
Springer

Design Metrics for Data Warehouse Evolution

9 years 28 days ago
Design Metrics for Data Warehouse Evolution
During data warehouse design, the designer frequently encounters the problem of choosing among different alternatives for the same design construct. The behavior of the chosen design in the presence of evolution events is an important parameter for this choice. This paper proposes metrics to assess the quality of the warehouse design from the viewpoint of evolution. We employ a sed model to uniformly abstract relations and software modules, like queries, views, reports, and ETL activities. We annotate the warehouse graph with policies for the management of evolution events. The proposed metrics are based on graph-theoretic properties of the warehouse graph to assess the sensitivity of the graph to a set of possible events. We evaluate our metrics with experiments over alternative configurations of the same warehouse schema.
George Papastefanatos, Panos Vassiliadis, Alkis Si
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where ER
Authors George Papastefanatos, Panos Vassiliadis, Alkis Simitsis, Yannis Vassiliou
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