Authors:
Christian Kurze
;
Marcus Hofmann
;
Frieder Jacobi
;
André Müller
and
Peter Gluchowski
Affiliation:
Chemnitz University of Technology, Germany
Keyword(s):
Data Warehouse, Model-driven Architecture, Architecture-driven Modernization, Model Management, Re-engineering, Data Warehouse Evolution.
Related
Ontology
Subjects/Areas/Topics:
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
Abstract:
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.