Schema Evolution in Data Warehouses |
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Authors: | Zohra Bellahsene |
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Affiliation: | (1) LIRMM UMR 55060 CNRS, Montpellier, France, FR |
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Abstract: | In this paper, we address the issues related to the evolution and maintenance of data warehousing systems, when underlying
data sources change their schema capabilities. These changes can invalidate views at the data warehousing system. We present
an approach for dynamically adapting views according to schema changes arising on source relations. This type of maintenance
concerns both the schema and the data of the data warehouse. The main issue is to avoid the view recomputation from scratch
especially when views are defined from multiple sources. The data of the data warehouse is used primarily in organizational
decision-making and may be strategic. Therefore, the schema of the data warehouse can evolve for modeling new requirements
resulting from analysis or data-mining processing. Our approach provides means to support schema evolution of the data warehouse
independently of the data sources.
Received 20 March 2000 / Revised 5 January 2001 / Accepted in revised form 20 April 2001 |
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Keywords: | : Containment Data warehouse evolution Structural view maintenance View adaptation View maintenance |
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