PARDES: a data-driven oriented active database model

  • Authors:
  • Opher Etzion

  • Affiliations:
  • -

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 1993

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Abstract

Most active database models adopted an event-driven approach in which whenever a given event occurs the database triggers some actions. Many derivations are data-driven by nature, deriving the values of data-elements as a function of the values of other derived data-elements. The handling of such rules by current active databases suffers from semantic and pragmatic fallacies. This paper explores these fallacies and reports about the PARDES language and supporting architecture, aiming at the support of data-driven rules, in an active database framework.