Conclusion
In this,
the first half of a two-part article introducing Attribute Member Keys,
we continued our recent group of articles focusing upon dimensional model
components, with an objective of discussing the associated concepts, and of
providing hands-on exposure to the properties supporting them. We reviewed our initial introduction to the dimensional
model and summarized its role in meeting the primary objectives of business
intelligence. Next, we provided a brief overview of dimension attributes
in general, referencing a subseries of articles, within my Introduction to MSSQL Server Analysis Services
series, where we explore the properties underlying them in detail.
We then began our exploration of Attribute Member Keys.
First, we discussed the three
Attribute usage types that we can define within a containing dimension. We
then narrowed our focus to the Key attribute usage type (a focus that we
develop throughout Parts
I and II of this article), discussing its role in meeting our business
intelligence needs. We next followed with a discussion of the role of the Key
attribute from a technical perspective, including its purpose within a
containing dimension within Analysis Services.
We then introduced the concepts of simple and composite
keys, narrowing our exploration in this half of the article to the former.
We reviewed the Properties associated with a simple key, based
upon the examination of a representative dimension attribute, Geography,
within our sample UDM. Finally, we looked ahead to Part II, where we explore the Properties
associated with a composite key.
»
See All Articles by Columnist William E. Pearson, III
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