A history-driven approach at evolving views under meta data changes
作者:Andreas Koeller, Elke A. Rundensteiner
摘要
Views over distributed information sources, such as data warehouses, rely on the stability of the schemas of underlying databases. In the event of meta data changes in the sources, such as the deletion of a table or column, such views may become undefined. Using meta data about information redundancy, views can be evolved as necessary to remain well defined after source meta data changes.
论文关键词:Data warehousing, Meta data changes, Query rewritings, Schema evolution, View synchronization
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论文官网地址:https://doi.org/10.1007/s10115-004-0171-8