TOWARDS MODEL-DRIVEN EVOLUTION OF DATA WAREHOUSES

摘要：

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 Engineering (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 ensuring 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.

关键词： Data Warehouse Model-driven Architecture Architecture-driven Modernization Model Management Re-engineering Data Warehouse Evolution

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

作者单位: Chemnitz University of Technology, Faculty of Economics and Business Administration, 09107 Chemnitz, Germany

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 2240-2244

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）