Mapping architecture for arbitrary data models

A data mapping architecture for mapping between two or more data sources without modifying the metadata or structure of the data sources themselves. Data mapping also supports updates. The architecture also supports at least the case where data sources that are being mapped, are given, their schemas...

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Hauptverfasser: CENGIZ ILKER, PFLEIGER TODD F, AHARONI AVNER Y, ZHU JASON Z, ARI BERTAN, BOLOGNESE LUCA, BURUGAPALLI SRINIVASA R, WHITE STEVEN D, SCHACH DAVID, CONRAD ANDREW J, SUVER CHRIS, VASCHILLO ALEXANDER, LASKOS ALEX, WIENER ADAM J
Format: Patent
Sprache:eng
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Zusammenfassung:A data mapping architecture for mapping between two or more data sources without modifying the metadata or structure of the data sources themselves. Data mapping also supports updates. The architecture also supports at least the case where data sources that are being mapped, are given, their schemas predefined, and cannot be changed. The architecture includes a mapping component that receives respective metadata from at least two arbitrary data models, and maps expressions between the data models.