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- W2099164893 abstract "In order to establish a useful data warehouse, it must be correct and consistent. Hence, when selecting the data sources for building the data warehouse, it is essential know exactly about the concept and structure of all possible data sources and the dependencies between them. In a perfect world, this knowledge stems from an integrated, enterprize-wide data model. However, the reality is different and often an explicit model is not available.This paper proposes an approach for identifying data sources for a data warehouse, even without having detailed knowledge about interdependencies of data sources. Furthermore, we are able to confine the number of potential data sources. Hence, our approach reduces the time needed to build and maintain a data warehouse and it increases the data quality of the data warehouse." @default.
- W2099164893 created "2016-06-24" @default.
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- W2099164893 date "2002-01-01" @default.
- W2099164893 modified "2023-09-22" @default.
- W2099164893 title "Identifying Data Sources for Data Warehouses" @default.
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- W2099164893 doi "https://doi.org/10.1007/3-540-45675-9_35" @default.
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