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The OLAP Cube Shown in Figure 33

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The OLAP cube shown in Figure 33.1 has been prepared for a car rental company that rents out cars to customers throughout the UK. The company wishes to explore which manufacturer, model, engine size and trim (interior finish) generates the most rental income in each location of the UK. For example, the manufacturer Ford has various models including Mondeo, Fiesta and Ka and each model comes in various size of engine such as 1.8 or 1.6 with each available in one of three trim levels of high, medium and low.
The OLAP cube shown in Figure 33.1 has been prepared for a car rental company that rents out cars to customers throughout the UK. The company wishes to explore which manufacturer, model, engine size and trim (interior finish) generates the most rental income in each location of the UK. For example, the manufacturer Ford has various models including Mondeo, Fiesta and Ka and each model comes in various size of engine such as 1.8 or 1.6 with each available in one of three trim levels of high, medium and low.     -Present typical dimensional hierarchies (with 4 levels of aggregation) for each dimension shown in Figure 1. The highest level of aggregation for each dimension is shown in Figure 33.1.
-Present typical dimensional hierarchies (with 4 levels of aggregation) for each dimension shown in Figure 1. The highest level of aggregation for each dimension is shown in Figure 33.1.

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