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On Making Data Warehouses Active

Autoren: M. Schrefl, T. Thalhammer
Paper: Thal00a (2000)
Zitat: Yahiko Kambayashi et al. (eds.): Proceedings of the 2nd International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2000), September 4-8, 2000, Greenwich, U.K., Springer Verlag (LNCS No. 1874), ISBN 3-540-67980-4, pp. 34-46, 2000.
Ressourcen: Kopie  (Senden Sie ein Email mit  Thal00a  als Betreff an dke.win@jku.at um diese Kopie zu erhalten)


Data warehouses, which are the core elements of On-Line Analytical Processing (OLAP) systems, are passive since all tasks related to analyzing and making decisions must be carried out manually.

This paper introduces a novel architecture, the active data warehouse, which applies the idea of event-condition-action rules (ECA rules) from active database systems to automize repetitive analysis and decision tasks in data warehouses. The work of an analyst is mimicked by analysis rules, which extend the capabilities of conventional ECA rules in order to support multidimensional analysis and decision making.