By Jan L. Harrington
Absolutely revised and up to date, Relational Database layout, moment version is the main lucid and powerful advent to relational database layout on hand. right here, you will discover the conceptual and functional info you want to strengthen a layout that guarantees information accuracy and consumer delight whereas optimizing functionality, despite your adventure point or number of DBMS.Supporting the book's step by step guide are 3 case reviews illustrating the making plans, research, and layout steps serious about arriving at a legitimate layout. those real-world examples contain object-relational layout strategies, that are addressed in higher element in a brand new bankruptcy committed fullyyt to this well timed topic. * techniques you want to grasp to place the book's sensible guide to work.* equipment for tailoring your layout to the surroundings during which the database will run and the makes use of to which it is going to be put.* layout techniques that verify facts accuracy and consistency.* Examples of ways layout can inhibit or increase database software performance.* Object-relational layout concepts, merits, and examples.* directions on the way to pick out and use a normalization technique.* directions for figuring out and using Codd's rules.* instruments to enforce a relational layout utilizing SQL.* concepts for utilizing CASE instruments for database layout.
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Additional resources for Relational Database Design Clearly Explained, Second Edition (The Morgan Kaufmann Series in Data Management Systems)
In addition, how many values should a multivalued column be able to store? If you specify a m a x i m u m number, what will happen when you need to store more than the m a x i m u m number of values? For example, what if you allow room for 10 dependents in the Employee entity just discussed and you encounter an employee with 11 dependents? Do you create another instance of the Employee entity to handle that person? Consider all the problems that doing so would create, particularly in terms of the unnecessary duplicated data.
If we peered inside the database, we w o u l d see that the instance of the distributor entity was related to just the one merchandise item instance. This w o u l d then appear to be a one-to-one relationship. However, over time Lasers Only may choose to order more titles from the new distributor, which w o u l d violate the rule that the distributor must be related to no more than one merchandise item. What we have is therefore not a true one-to-one relationship. ) By the same token, w h a t if Lasers Only created a special credit card entity to hold data about the credit cards that renters used to secure their rentals?
Rece ves J. ordered Figure 2-15: I~ stores An explosion of the "Get items ordered" process from Figure 2-13 The bottom line is this: A data model contains information about the data being stored in a database (entities, attributes, and entity relationships). If data about an entity are not going to be stored in the database, then that entity should not be part of the database. For example, although the Lasers Only data flow diagram shows the Lasers Only employee who handles most of the data, no data about employees are going to be stored in the database.