Vers l'auto-administration des entrepôts de données

Kamel Aouiche (1) , Jérôme Darmont (1)

1 ERIC - Equipe de Recherche en Ingénierie des Connaissances

With the wide development of databases in general and data warehouses in particular, it is important to reduce the tasks that a database administrator must perform manually. The idea of using data mining techniques to extract useful knowledge for administration from the data themselves has existed for some years. However, little research has been achieved. The aim of this study is to search for a way of extracting useful knowledge from stored data to automatically apply performance optimization techniques, and more particularly indexing techniques. We have designed a tool that extracts frequent itemsets from a given workload to compute an index configuration that helps optimizing data access time. The experiments we performed showed that the index configurations generated by our tool allowed performance gains of 15% to 25% on a test database and a test data warehouse.

Mots clés: Entrepôts de données; Performance; Administration; Index

Domaines: Base de données [cs.DB]

Kamel Aouiche, Jérôme Darmont. Vers l'auto-administration des entrepôts de données. XXXVèmes Journées de Statistique, Session spéciale Entreposage et Fouille de Données, Jun 2003, Lyon, France. pp.105-108. ⟨hal-00143614⟩