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These numbers are being specified at various levels, including products, categories, and a grand total Look again, and you may notice another fact: quantity ordered Although it is not being subtotaled, this number is presumably being aggregated In this case, it looks like quantity ordered by product is being aggregated from individual orders The style of the report in Figure 1-2 is sometimes referred to as tabular Other reports may cross-reference facts and dimensions in matrix format, or even display facts graphically The values being plotted are facts; axis values, bar labels, and qualifications are dimensions In some cases, it can be hard to tell whether a data element is a fact or a dimension Sometimes, a single data element can be used in both ways 6, More on Dimension Tables, discusses behavioral attributes, which are dimensions that have been derived from facts.

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9:

Later, 11, Transactions, Snapshots, and Accumulating Snapshots, looks at techniques used to construct facts out of dimension values It is also possible to find a process where there does not appear to be a clear measurement 12, Factless Fact Tables, describes how the factless fact table can be used to deal with this kind of situation You also may find that some important business metrics are not so easily rolled up 3, Stars and Cubes, considers nonadditive facts, while 11 discusses the curious case of semi-additive facts..

Henry Jacobsen 36 111 Sales Manager Atlanta (office number 13) July 25, 1990 Not yet assigned $0.00

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A dimensional design organizes facts and dimensions for storage in a database. It is common for a set of dimensions to share relationships to one another, independent of facts. These are grouped together in a single table to reflect their natural clustering. Similarly, facts that are available at the same level of detail are grouped together. For example, suppose a study of the orders process reveals the facts and dimensions shown in Figure 1-3. In this example, products are being sold by a distributor to retail stores, so the customers are companies. Each of the facts listed in the column on the left may be rolled up according to the dimension values in the right-hand column. Notice natural affinities exist among the dimension values. Some of them clearly belong together. For example, product and product description both seem to be associated with SKU. Salesperson name is determined by salesperson ID. Other dimensions are more distantly associated. Products, for example, have brands. Salespeople work in regions. Figure 1-4 shows how the facts and dimensions for the orders process might be grouped together.

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Overall, Pop s efforts seem to have paid off. He now has access to important information from his stores and has provided for its protection. That s not bad for a small Mom & Pop shop!

Here is the INSERT statement that adds Mr. Jacobsen to the sample database: Add Henry Jacobsen as a new salesperson. INSERT INTO SALESREPS (NAME, AGE, EMPL_NUM, SALES, TITLE, HIRE_DATE, REP_OFFICE) VALUES ('Henry Jacobsen', 36, 111, 0.00, 'Sales Mgr', '25-JUL-90', 13) 1 row inserted. Figure 10-2 graphically illustrates how SQL carries out this INSERT statement. Conceptually, the INSERT statement builds a single row of data that matches the column structure of the table, fills it with the data from the VALUES clause, and then adds the new row to the table. The rows of a table are unordered, so there is no notion of inserting the row "at the top" or "at the bottom" or "between two rows" of the table. After the INSERT statement, the new row is simply a part of the table. A subsequent query against the SALESREPS table will include the new row, but it may appear anywhere among the rows of query results.

Figure 1-3

Mom & Pop s situation may seem quite trivial to experienced network and systems administrators who deal with these types of issues every day. One of the luxuries of planning for Mom & Pop s business is that it didn t expect to change much in the near future. That allowed time and implementation resources to play less of a role in the overall solution. As we re about to see, these luxuries aren t often part of a quickly growing high-tech startup company.

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