A new trend in Business Intelligence is the process of combining information from two or more different and heterogeneous Data Warehouses. Existing solutions rely mostly on the Extract-Transform-Load (ETL) approach, a costly and laborious process. The process of Data Warehouse integration can be greatly simplified by developing methods to semi-automatically discover semantic mappings among attributes of two or more different, heterogeneous Data Warehouse schemas, like the one proposed in this paper.
On the Use of Dimension Properties in Heterogeneous Data Warehouse Integration / Marius Octavian, Olaru; Vincini, Maurizio. - STAMPA. - (2012), pp. 277-282. (Intervento presentato al convegno Proceedings of 20 th Italian Symposium on Advanced Database Systems SEBD 2012 tenutosi a Padova nel 24-27 june, 2012).
On the Use of Dimension Properties in Heterogeneous Data Warehouse Integration
VINCINI, Maurizio
2012
Abstract
A new trend in Business Intelligence is the process of combining information from two or more different and heterogeneous Data Warehouses. Existing solutions rely mostly on the Extract-Transform-Load (ETL) approach, a costly and laborious process. The process of Data Warehouse integration can be greatly simplified by developing methods to semi-automatically discover semantic mappings among attributes of two or more different, heterogeneous Data Warehouse schemas, like the one proposed in this paper.
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