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Data-Driven Multidimensional Design for OLAP
[chapter]
2011
Lecture Notes in Computer Science
OLAP is a popular technology to query scientific and statistical databases, but their success heavily depends on a proper design of the underlying multidimensional (MD) databases (i.e., based on the fact / dimension paradigm). Relevantly, different approaches to automatically identify facts are nowadays available, but all MD design methods rely on discovering functional dependencies (FDs) to identify dimensions. However, an unbound FD search generates a combinatorial explosion and accordingly,
doi:10.1007/978-3-642-22351-8_51
fatcat:yanc3xopbngznoupn4u5uvw6ta