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The most obvious error in this step of building aggregate awareness is if the wrong table is used in any instance. However, the ultimate goal is to get correct results. So as a final test, you should run a query to ensure that you get the same data when either the aggregate table or the detail table is used. In the preceding examples, Sales for September 2001 is $300,848, according to both the aggregate table and the SHOP_FACTS table. There are a few reasons why you may not get the same result for an aggregate table as for a detail table: One of the tables is incorrect If the DBA has not built the aggregate table correctly, you may not be able to fix it, but you must communicate this issue to both DBAs and end users. When something is wrong, BusinessObjects XI will always get the blame, because most end users don t know and don t care which component in the information flow actually has the problem. If the summary table is incorrect in all circumstances, don t include it in the universe design. If it is correct in most circumstances and the DBA is working to resolve one minor inconsistency, use the table but clearly explain in the object description when the data may be incorrect. The aggregate table contains dimensional information that is different from details in the lookup or dimension tables As a general rule, I don t like when dimensional information is stored in the fact table. It s even worse when there is a difference between dimensional information in a fact table and a dimension table. Yes, in a perfect world the data is clean and consistent. However, I ve yet to see a company that had such clean data. In the example of AGG_YR_QT_MT_MN_WK_RG_ CY_SN_SR_QT_MA, the store name exists in both this aggregate fact table and the dimension table OUTLET_LOOKUP. What if the fact table contained data for a store that did not exist in OUTLET_LOOKUP Users would get different answers between queries that use the aggregate table and queries that use the detail table that joins to the dimension table that is missing information for a store. The universe contains a mistake in the join or in a dimension definition An error in the design is completely within your control and must be resolved before deploying to end users.
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OffYear, and CourseNo. A g o o d visual arrangement can facilitate the normalization process described in the next section. If y o u prefer, y o u can list F D s rather than arrange them in a diagram. For large collec tions o f F D s , it is difficult to make a diagram. You should list the F D s , grouped by L H S , as shown in Table 7.2.
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