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The relative emphasis on conformance varies with the data warehouse architecture. Because it is founded on the dimensional model, conformance is a central feature of Kimball s dimensional data warehouse. Inmon s Corporate Information Factory does not rely on the dimensional model to integrate enterprise data and therefore places a reduced emphasis on conformance. The stand-alone data mart does not have an enterprise context by definition. While it may include dimensions that conform internally, it is likely to exhibit incompatibilities with other data marts. This section sorts out these various approaches to dimensional conformance.

List the offices and the names and titles of their managers. SELECT CITY, NAME, TITLE FROM OFFICES, SALESREPS WHERE MGR = EMPL_NUM CITY ----------Chicago Atlanta New York Denver Los Angeles NAME ----------Bob Smith Bill Adams Sam Clark Larry Fitch Larry Fitch TITLE --------Sales Mgr Sales Rep VP Sales Sales Mgr Sales Mgr

The users needs should be a primary concern during backup operations. If usage is heavy during a certain time of day, you might choose not to back up information during that time, to avoid negative impacts on performance. However, if the data is very valuable, you may need to perform backups during this time; if so, do let your users know of any potential performance lags. Also, keep in mind that usage patterns might be very different than what you expected. Although it is unlikely that users will be modifying information in the middle of the night for a local database, international data repositories might be used heavily around the clock. Now let s combine the information we ve covered so far into a backup schedule.

The dimensional data warehouse architecture, as described in 2, Data Warehouse Architectures, relies on the star schema as an integrated repository of atomic data, drawn

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In this example, we ll assume that XYZ Corporation maintains a database of all of its sales transactions. Data is collected and input from 300 cashiers in 30 stores. The normal operating hours for the stores are from 7:30 A.M. to 6:00 P.M., Monday through Saturday, with most stores closed on Sundays. Performance at the point of sale is vital, because it affects business. Table 6-2 provides a sample data protection schedule combining the various backup types. Notice that Table 6-2 makes some very critical assumptions. Before such a schedule is mandated, managers and users should be in agreement, for example, that losing up to one hour s worth of data is acceptable in a worst-case scenario. By spreading backup times throughout the day and using differential and transaction log backups, we have minimized the performance impact that is likely to occur as a result of the backup operations. Hopefully, with this solution, XYZ s customers and employees won t have to wait as long for transactions to complete during busy times. (In 7, we ll see how these backups can be used. We ll also look at the details of what you can do if certain backups are corrupt or invalid.)

from all parts of the enterprise. Data marts are either subsets of this dimensional repository, dimensional structures derived from it, or some combination of the two. Conformed dimensions are the key to enterprise scope, serving as the infrastructure that integrates subject areas. This means that the dimensional design, including a conformance plan, must be conducted as a strategic, upfront process.

Notes User activity is minimal on Sunday afternoon. No significant database changes are expected outside the hours of 8:00 A.M. to 8:00 P.M.

In a dimensional data warehouse, dimensional design is a strategic activity, rather than a design-stage activity It is conducted upfront, before any implementation projects begin The dimensional design may be developed as a stand-alone project, or it may be incorporated into a strategy project, which also includes activities to establish technical architecture, select tools, and set implementation priorities The conformance framework of the dimensional model is a top-level focus of dimensional data warehouse design Kimball and Ross refer to the conformance framework as the conformance bus It allows the model to meet the needs of each individual subject area, while also preserving the ability to compare subject areas This makes it the key to supporting enterprise scope, allowing process comparison at the micro- and macro-level The development and documentation of the dimensional design are fully explored in 18.