October 2012
Intermediate to advanced
316 pages
8h 47m
English
book
IBM Cognos Dynamic Cubes
by Dmitriy Beryoza, Shilpa Bhimavarapu, Alan Blake, David Cushing, Vlaunir Da Silva, Mario Daigle, Avery Hagleitner, Ian Henderson, Beth Jubera, Skyla Loomis, Chris McPherson, Steven Rogers, Carlos Ruiz, Christopher Yao
Content preview from IBM Cognos Dynamic Cubes
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84 IBM Cognos Dynamic Cubes
4.8 Multi-grain fact scenarios
A common modeling problem is multi-granularity, which occurs when levels of dimensional
detail for facts differ. In your data source, the level of information in a dimension can be more
precise than fact data of some fact tables in which the dimension takes part.
For example, a time dimension can have dimension information for the levels of year, quarter,
month, and day. For a Sales fact table, the facts exist at the day level. For a fact table with
planned sales values, the fact grain or level is probably at a higher level of detail such as
month.
This difference in fact grain can make it difficult to plan queries correctly if a report user
included a level below the fact grain in ...
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