Abstract
The data warehouse (DW) data as well as its schema is known to evolve continually with time to incorporate new requirements. In order to preserve complete history, the DW systems need to manage the evolution of schema with time through schema versioning and also have to provide support for evolution of data defined in different schema versions. However, the existing multidimensional DW are able to manage revisions in transaction data (measures/facts) but do not (or partially) manage evolutions in dimension data. In this paper, we propose an approach which allows not only to manage revisions of schema and dimension data but also track retroactive and proactive updates in DW using both valid-time and transaction-time. The main objective of this work is to propose an evolution model for bi-temporal DW using bi-temporal schema versioning.
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