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Exercise No. 15: Restaurant Order (apa)

As the result of dfm case "Restaurant Order" this cube stores data about a restaurant order.

We have four dimensions with the following hierarchical structure:

Table A.E.41.1 - restaurant order

Please build the Aggregation Path Array and assume the following end-user requirements:

1) "a daily report for each waiter, independent of all other dimensions"

2) "a weekly report for each combination of customer and dish of the day, independent of all other dimensions"

Select the corresponding cells in the APA and choose the cubes to materialize, then highlight the derivatives of those cubes.

Solution

Figure A.E.41.1 - The resulting APA with the redundancy free-set highlighted

Size of the redundancy-free set (including the base cube): 48

Required cubes, the materialization decision and derivatives

The blue area represents the end-user requirement 1 ("a daily report for each waiter, independent of all other dimensions") and requirement 2 ("a weekly report for each combination of customer and dish of the day, independent of all other dimensions").

Materializing cube v = (C_*,W_wa,M_*,T_d) (dark blue cell "M_*", representing end-user requirement 1) and cube w = (C_cu,W_*,M_dd,T_w) (dark green cell "T_w", representing end-user requirement 2) offer us the following sets of derivatives.

Figure A.E.41.2 - Derivatives of cube v = (C_*,W_wa,M_*,T_d)

Figure A.E.41.3 - Derivatives of cube w = (C_cu,W_*,M_dd,T_w)

Figures A.E.41.2 and A.E.41.3 show that no end-user requirement is covered by the derivatives of another vector. To meet all end-user requirements we will have to materialize both cubes, v and w.

This exercise is part of a case study: dfm - apa - log