A new trend in Business Intelligence is the process of combining information from two or more different and heterogeneous Data Warehouses.
On the Use of Dimension Properties in Heterogeneous Data Warehouse Integration. Olaru, M. & Vincini, M. In Ferro, N. & Tanca, L., editors, Twentieth Italian ...
In this paper, we propose a semi-automatic method to discover mappings among. Data Warehouses dimensions that exploits topological properties of the DW ...
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First, topological properties are used to generate a mapping set between various dimension levels, then, compatible schema parts, and the infor- mation that ...
This paper proposes a method that is able to achieve both schema and instance level integration of heterogeneous Data Warehouse dimensions attributes by ...
On the Use of Dimension Properties in Heterogeneous Data Warehouse Integration. MO Olaru, M Vincini. SEBD, 277-282, 2012. 2012 ; On-Demand Business Intelligence.
In the current paper, we perform extensive analysis of a mapping-based DW integration methodology and of its properties. In particular, the method is coherent, ...
Integration of Heterogeneous Databases in Data Warehousing
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Jan 28, 2023 · Integration of heterogeneous databases in data warehousing refers to the process of combining data from multiple, disparate databases into a central repository.
This review article aims to provide an overview of heterogeneous data integration research focusing on methodology and approaches.
We start by tackling the basic issue of matching heterogeneous dimensions and provide a number of general properties that a dimension matching should fulfill.