A Framework for Tool-Independent Modeling of Data Acquisition Processes for Data Warehousing

  • Authors:
  • Arne Harren;Heiko Tapken

  • Affiliations:
  • -;-

  • Venue:
  • CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
  • Year:
  • 2002

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Abstract

Due to their integrated and unified view over data of various operational and external systems, data warehouse systems nowadays are well established to serve as a technical fundament for strategic data analyses. Unfortunately, data acquisition which is responsible for introducing new or changed data from source systems into the data warehouse is not static and new requirements may be identified as time walks by. Therefore, comprehensibility and maintainability of data acquisition processes are crucial to the long-time success of a data warehouse.Within the scope of this paper we sketch some aspects of our framework for tool-independent data acquisition design including the framework's architecture, the underlying design process model, and the management of metadata.