Christian Kurze, Marcus Hofmann, Frieder Jacobi, André Müller, Peter Gluchowski


Data warehouse systems represent centralized data collections used for the purposes of data analysis and decision support. Development and maintenance of extensive data warehouse systems require appropriate support through methods and tools. Therefore, we introduce the project Computer-Aided Warehouse Engi-neering (CAWE). It is a model-driven approach to the engineering of data warehouse systems. Especially the process of data warehouse evolution, i.e. the maintenance of the core data storage component, the data warehouse in narrow sense, is a tedious task since the change of data structures implies the challenge of en-suring integrity and history of corporate data. The paper at hand provides research in progress and suggests the adoption of a multidimensional algebraic formalism to the model-driven development paradigm.


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Paper Citation

in Harvard Style

Kurze C., Hofmann M., Jacobi F., Müller A. and Gluchowski P. (2011). TOWARDS MODEL-DRIVEN EVOLUTION OF DATA WAREHOUSES . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8425-53-9, pages 356-360. DOI: 10.5220/0003444303560360

in Bibtex Style

author={Christian Kurze and Marcus Hofmann and Frieder Jacobi and André Müller and Peter Gluchowski},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},

in EndNote Style

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
SN - 978-989-8425-53-9
AU - Kurze C.
AU - Hofmann M.
AU - Jacobi F.
AU - Müller A.
AU - Gluchowski P.
PY - 2011
SP - 356
EP - 360
DO - 10.5220/0003444303560360