Integration and reuse of heterogeneous information: hetero-homogeneous data warehouse modeling in the common warehouse metamodel
Date
2012
Authors
Schütz, C.
Neumayr, B.
Schrefl, M.
Editors
Advisors
Journal Title
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Volume Title
Type:
Conference paper
Citation
Proceedings of the Americas Conference on Information Systems, 2012, pp.1-14
Statement of Responsibility
Conference Name
18th Americas Conference on Information Systems (AMCIS 2012) (9 Aug 2012 - 11 Aug 2012 : Seattle, Washington)
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.
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Dissertation Note
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Copyright 2012 The author(s)