Morgan Kaufman Relational Database Design and Implementation

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Whenever a value is stored in the database, the DBMS verifies that it comes from the attribute’s specified domain. Although in many cases we cannot specify small domains, at the very least the domain assures us that we are getting data of the right type. For example, a DBMS can prevent a user from storing 123 × 50 in an attribute whose domain is currency values. Most DBMSs also provide fairly tight domain checking on date and time attributes, which can help you avoid illegal dates such as February 30.

Well, it worked fine for a while, but as the business expanded, problems began to arise. Unnecessary Duplicated Data and Data Consistency The Antique Opticals database has a considerable amount of unnecessary duplicated data. For example, a customer’s name, address, and phone number are duplicated for every item the customer orders; a merchandise item’s title is duplicated every time the item is ordered. What is the problem with this duplication? When you have duplicated data in this way, the data should be the same throughout the database.

They soon realized that if they were to stay in business, they had to change their merchandise focus. Laser discs were now the “antiques” of the optical media world, with DVDs—and most recently Blu-ray highdefinition discs—the current technology. Antique Opticals and DVDs now sells and rents DVDs and Blu-ray discs from the retail store. It also sells used laser discs that it purchases from individuals. The company has a primitive Web site for mail-order sales. The current catalog is updated weekly and uploaded to the site, where users place orders.

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