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W. Ahmed and E. Zimányi. Querying Multiversion Data Warehouses. In T. Morzy, P. Valduriez, and L. Bellatreche, editors, Proceedings of the ADBIS 2015 Short Papers and Workshops, number 539 in Communications in Computer and Information Science, pages 346-357, Poitiers, France, September 2015. Springer-Verlag.

Abstract

Data warehouses (DWs) change in their content and structure due to changes in the feeding sources, business requirements, the modeled reality, and legislation, to name a few. Keeping the history of changes in the content and structure of a DW enables the user to analyze the state of the business world retrospectively or prospectively. Multiversion data warehouses (MVDWs) keep the history of content and structure changes by creating multiple data warehouse versions. Querying such DWs is complex as data is stored in multiple schema versions. In this paper, we discuss various schema changes in a multidimensional model, and elaborate their impact on the queries. Further, we also propose a system to support querying MVDWs.


Updated: 2017-03-27