If they wanted all of the measures by a selection of application stages, or a selection of measures by the same set of application stages we could have used a crosstab and had application stage as one of the dimensions, day of month (say) as the other and we’d have been fine, but as the report used an arbitrary selection of measures and application stages, the only way around this was to “pivot” the fact table by the application stage and derive out the measures using a CASE statement, like this: This would then lead to this measure appearing in the logical fact table as a calculation, rather a normal logical column mapped to a physical column. … I’ve done a fair few OBIEE implementations now and this one reinforced by view that to be good with OBIEE, you need to have three main skills Knowledge of OBIEE, specifically how the physical to logical model translation works, how to use Logical Table Sources, how to derive measures, how to create joins in the Logical and Physical models, and in particular (and this is where experience on deployments, rather than demos comes in) knowledge of all the little quirks, like the non-aggregatibility of calculated columns issue I mentioned earlier on, how to resolve self-joins and multiple joins between tables through Aliases and so on.
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- This is an aggregator for the blogs I follow, not a complete list of all Oracle blogs. For a more complete list of Oracle blogs, go to OraNA.info.
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