Abstract
The corporate data warehouse integrates data from various operational data stores of a company. These operational data stores may be heterogeneous with respect to the represented information. The hetero-homogeneous data warehouse modeling approach overcomes issues associated with the integration of heterogeneous information from the operational data stores by featuring a generally homogeneous schema which may be interspersed with heterogeneities in well-defined portions of the data. In order to leverage the capabilities of existing business intelligence (BI) tools for the analysis of hetero-homogeneous information, the schema must comply with the metamodel of the particular BI tool. The Common Warehouse Metamodel (CWM) is a standard for data warehouse metadata which facilitates the reuse of data across multiple BI tools. In this paper, we present guidelines for modeling hetero-homogeneous data warehouses in the CWM. We demonstrate feasibility with a proof-of-concept prototype for the model-driven implementation of hetero-homogeneous data warehouses.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 18th Americas Conference on Information Systems (AMCIS 2012), Seattle, Washington, August 9-11, 2012 |
| Number of pages | 13 |
| Publication status | Published - Aug 2012 |
Fields of science
- 102 Computer Sciences
- 102015 Information systems
- 502 Economics
- 509 Other Social Sciences
JKU Focus areas
- Management and Innovation
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