Abstract
In most of today’s companies we find heterogeneous database systems containing redundant and inconsistent data. This threatens the ability to make coordinated, organization-wide responses to business problems. Although benefits of data integration need not dominate the costs, we argue that some kind of common understanding of data structures is an absolute must. Thus, data integration is necessary at least to some degree. In literature, only technical aspects of schema integration are treated. Also, the complexity issue (large schemata are hard to understand) is usually not treated explicitly. We present a business process oriented strategy for data integration. This method allows the determination of the order and the degree of integration. Complexity is reduced by schema clustering during the pre-integration phase.
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Stickel, E., Hunstock, J., Ortmann, A., Ortmann, J. (1996). A Business Process Oriented Approach to Data Integration. In: König, W., Kurbel, K., Mertens, P., Pressmar, D. (eds) Distributed Information Systems in Business. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80216-4_3
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DOI: https://doi.org/10.1007/978-3-642-80216-4_3
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