On Making Data Warehouses Active

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Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2000), Greenwich, U.K., September 4-8, 2000
EditorsYahiko Kambayashi, A. Min Tjoa, Mukesh Mohania
Place of PublicationDeutschland
PublisherSpringer Verlag
Pages34-46
Number of pages13
Volume1874
ISBN (Print)3540679804, 9783540679806
Publication statusPublished - Sept 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1874
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 102 Computer Sciences
  • 102015 Information systems

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