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Facts and Dimensions
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In a dimensional design, measurements are called facts, and context descriptors are called dimensions. Every dimensional design sorts information requirements into these categories. They may be identified within statements or questions, or found within report specifications. Sorting them into categories for facts and dimensions is easy, once you know what to look for.
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In a spoken or written statement, the word by is almost always followed by a dimension. Consider the question What are order dollars by product category for January Clearly, the person asking this question wants a separate measurement for each product category, as indicated by the words by product category. Product category is a dimension. Similarly, the word for is also a good indicator of the presence of a dimension. In this case, the next word is likely to be an instance value of a dimension. For example, What are order dollars by product category for January Here, for is followed by January. January is a value or instance of a dimension. The dimension is not named, but we can infer that it is month. Facts tend to be numeric in value, and people want to see them at various levels of detail. You can identify facts by looking for things that people want to roll up or break out. Again, look at the question What are order dollars by product category for January Here, order dollars will presumably be numeric, and they can be rolled up by categories. Not everything that is numeric is a fact. Sometimes, a numeric data element is really a dimension. The key is to determine how it is being used. Is it something that can be
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1 Analytic Databases and Dimensional Design 7
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specified at varying levels of detail If so, it is a fact. Is it providing context If so, it is a dimension. Show me margin dollars by order number, contains two numeric elements. Margin dollars can be specified at various levels of detail, and the speaker is asking that it be rolled up by order number. Clearly, margin dollars is a fact. What about order number It too is numeric, but the speaker is not asking that order numbers be added together. Instead, order number is being used to specify the context for margin dollars. Order number is a dimension. Other examples of numeric data elements behaving as dimensions include size, ages, phone numbers, document numbers, and unit amounts such as unit cost or unit price. The clue that these elements are dimensions lies in their use. The numbers themselves are not rolled up or down according to the question. Instead, they specify the context by which something else may be rolled up or down.
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Facts and dimensions can also be recognized by considering how they would be used if they were stored in a database and shown on a report. Dimensions serve as filters, or query predicates. The report page shown in Figure 1-2, for example, is filtering detailed data for the western region and January 2009. These filters imply several dimensions: region, month, and year.
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Order Report Western Region January 2009 (cont d) Category Packaging Product Box - Large Box - Medium Box - Small Clasp Letter Envelope #10 Envelope Bubble All Packaging Pens Gel Pen Black Gel Pen Blue Silver Pen All Pens Grand Total Page 10 of 10 017-1999 017-2444 017-3001 5000 2990 50 SKU 011-4822 011-4899 011-5744 011-1729 021-0011 021-0012 Quantity Sold 700 1,250 1,200 400 2,000 1,200 Cost $ 950.53 $ 1,001.84 $ 1,200.72 $ 352.82 $ 2,017.46 $ 866.51 $ 6,389.88 $ 116.39 $ 600.88 $ 128.46 $ 845.73 $207,229.42 Order Dollars $ 1,100.00 $ 1,380.00 $ 1,330.00 $ 356.00 $ 2,080.00 $ 1,212.00 $ 7,458.00 $ 120.00 $ 624.91 $ 130.00 $ 874.91 $214,896.91
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Figure 1-2
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