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Part II
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PART II
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salesperson_key salesperson salesperson_id territory territory_code territory_manager region region_code region_vp ... customer_key customer_id customer_name contract_manager receiving_manager territory territory_code territory_manager phone_number hq_size ...
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TERRITORY
territory_key territory territory_code territory_manager
CUSTOMER
customer_key customer_id company_name contract_manager receiving_manager phone_number hq_size ...
Figure 5-6 Common attributes of overlapping dimensions may conform or may be isolated as a third dimension
5 Conformed Dimensions 99
TIP When two dimensions overlap, they can conform across their common attributes. The common attributes must share the same content and structure. Overlapping dimension tables are usually maintained by separate ETL processes. This means that there is a risk, however small, that they will be loaded with inconsistent values. The routines that load customer, for example, may interpret regions differently from the routines that load salesrep. Any slip in consistency will foil attempts to drill across. Overlapping dimensions may also foil the automated drill-across capabilities of business intelligence software. These tools frequently expect conformed dimensions of the rollup variety. For these reasons, designers generally try to avoid overlapping dimensions. At least three alternatives exist that allow the overlapping attributes to be removed to a separate table.
Creating a Third Table to Avoid Overlap An alternative in this situation is to remove the common attributes from both tables and place them in a third dimension. This alternative is illustrated at the bottom of Figure 5-6. Territory information is relocated into a single table, ensuring consistency for drill-across operations. This approach may have an undesirable consequence: it is no longer possible to browse territories with customers or salesreps. The choice between overlapping dimensions and the creation of a third dimension may be driven by analytic requirements. Is it important for the users to browse the overlapping attributes in conjunction with the other attributes from each dimension If not, the overlapping attributes can be moved to a third table. Creating a Third Table and Tracking Relationships If the relationships between the dimensions in question and their overlapping attributes change over time, and it is important to be able to get a picture of how they were related at a particular point in time, creation of a third dimension can be supplemented by additional fact tables to track relationships. In the case of the territory data, this solution would entail creating a territory table, as depicted in the bottom of Figure 5-6. Additional fact tables can be built to track the relationship of customers to territories over time, and the relationship of salesreps to territories over time. These are likely to be factless fact tables, a topic that is discussed in 12, Factless Fact Tables. Creating a Third Table as an Outrigger The last option for avoiding overlapping dimension tables is to create a third dimension table that is related directly to the original two tables. This approach results in a form of snowflaking. The table created to avoid the overlap is known as an outrigger. For the territory information, this approach would entail creating a separate territory table, as was done at the bottom of Figure 5-6, and adding territory_key to the salesrep and customer tables. This technique allows salesrep or customer to be joined directly to territory, allowing salesrep or customer data to be browsed with territory attributes. This approach, however, may also defeat the star-join optimization capability of many RDBMSs. Outriggers are discussed in 7, Hierarchies and Snowflakes.
TIP When dimensions overlap, there is a risk that common attributes will not be maintained consistently. If this is a concern, consider the alternatives. Will placing the overlapping attributes in a third table harm the analytic capability of the solution If not, split the dimensions in three. If so, consider supplementing a third dimension with additional fact tables, or treating it as an outrigger.
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