Ordered multidimensional model construction of relational source for integral OLAP-modeling

Internet is a rich source of information, but it consists of miscellaneous data fragments. Analytical “surfing” on World Wide Web opens extraordinary prospects for attain and maintain competitive advantage of enterprises and for scientific researches. Exploratory OLAP is one of the main agenda of analytical processing of heterogeneous data sources. The author proposes an original approach to exploratory OLAP based on virtual data consolidation (without physical gathering) based on conceptual analytic model in multidimensional terms. The algorithm of discovering multidimensional concepts in normalized relational data sources based on functional dependencies analysis is represented.