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XML data warehouses form an interesting basis for decision support applications that exploit heterogeneous data from multiple sources. However, XML-native database systems currently suffer from limited performances in terms of manageable data volume and response time for complex analytical queries. Fragmenting and distributing XML data warehouses (e.g., on data grids) allow to address both these issues. In this paper, the authors work on XML warehouse fragmentation. In relational data warehouses, several studies recommend the use of derived horizontal fragmentation. Hence, the authors propose to adapt it to the XML context. They particularly focus on the initial horizontal fragmentation of dimensions' XML documents and exploit two alternative algorithms.
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