Here's the recommended solution:
We say "recommended solution" because there are many possible
ways to implement a multidimensional data model. Usually one way
emerges as the best when flexibility, ease of maintenance, and robustness
are considered. (For example, if you plan to analyze many other
facts with respect to climate, you would be justified in creating
an entirely new dimension for the MICRO CLIMATE attribute.)
Notice that our model allows cities to be grouped by microclimate
or by county. Microclimates are not determined by counties in any
way, only by cities.
What if some cities extend across microclimates? How would we
have to change our model? If you start to lose sleep at night, or
are interested in hearing our answer, contact
Back to "What
is multidimensional modeling?"...