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.