Figure 9-19: Creating a basic analytical ERD of (Web hosting reviews)
Figure 9-19: Creating a basic analytical ERD of business rules Case Study: The Data Warehouse Model Planning and analyzing a data warehouse database model is all about separation of static and transactional information. The static information consists of the little bits and pieces describing the facts. The facts are the variable or dynamic details that are commonly destroyed or archived when no longer useful. For the online auction house all the buyer and seller details, such as their addresses, is all static information, in that it does not change much. The transactional information consists of what is added to the database and then removed from the database after a period of time. Transactional information is removed from a database to ensure that the database simply doesn t get too large to manage; however, all that historical information (such as past bids, and past listings) is valuable when trying to perform forecasting reporting. For example, the online auction house may want to promote and advertise. If auctions selling toys is 100 times more prevalent than selling old LP records from the 1950s, perhaps marketing to toy sellers is a better use of advertising funds. Executing forecasting reports, extrapolating from information over the last five years, could be very useful indeed in discovering which markets to target specifically. Old, out-of-date, and archived data can be extremely useful. Instrument instrument musician name phone email skill skill Advertisement ad_date ad_text phone email requirements band name members founding_date genre genre shows location address directions phone show_date show_times merchandise type price discography cd_name release_date price 243 Planning and Preparation Through Analysis
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