Abstract
The high cost of data consolidation is the key market inhibitor to the adoption of traditional information integration and data warehousing solutions. In this paper, we outline a next-generation integrated database management system that takes traditional information integration, content management, and data warehouse techniques to the next level: the system will be able to integrate a very large number of information sources and automatically construct a global business view in terms of “Universal Business Objects”. We describe techniques for discovering, unifying, and aggregating data from a large number of disparate data sources. Enabling technologies for our solution are XML, web services, caching, messaging, and portals for real-time dashboarding and reporting.
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Brown, P., Haas, P., Myllymaki, J., Pirahesh, H., Reinwald, B., Sismanis, Y. (2005). Toward Automated Large-Scale Information Integration and Discovery. In: Härder, T., Lehner, W. (eds) Data Management in a Connected World. Lecture Notes in Computer Science, vol 3551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499923_9
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DOI: https://doi.org/10.1007/11499923_9
Publisher Name: Springer, Berlin, Heidelberg
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