Modelling and Maintenance of Very Large Database Schemata Using Meta-structures

Practical experience shows that the maintenance of databases with a very large schema causes severe problems, and no systematic support is provided. In this paper we address this problem. Based on the analysis of a large number of very large database schemata we identify twelve frequently recurring meta-structures in three categories associated with schema construction, lifespan and context. We argue that systematic use of these meta-structures will ease the modelling and maintenance of very large database schemata.

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