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Now we have a pair of entities that have relevant, unique attributes that rely on their primary keys We ve also eliminated the confusion about the phone numbers Often, databases that are being normalized with the target of 3NF end up in 4NF, because this multivalued dependency problem is inherently obvious when you properly identify primary keys However, the 3NF version of these entities would have worked, although it isn t necessarily the most efficient form Now that we have a number of 3NF and 4NF entities, we must relate these entities to one another The final normal form that we discuss is fifth normal form (5NF) 5NF specifically deals with relationships among three or more entities, often referred to as tertiary relationships In 5NF, the entities that have specified relationships must be able to stand alone as individual entities without dependence on the other relationships However, because the entities relate to one another, 5NF usually requires a physical entity that acts as a resolution entity to relate the other entities to one another This additional entity has three or more foreign keys (based on the number of entities in the relationship) that specify how the entities relate to one another This is how many-to-many relationships (as defined in 2) are actually implemented Thus, if a many-to-many relationship is properly implemented, the database is in 5NF Frequently, you can avoid the complexity of 5NF by properly implementing foreign keys in the entities that relate to one another, so 4NF plus these keys generally avoids the physical implementation of a 5NF data model However, because this alternative is not always realistic, 5NF is defined to help formalize this scenario
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As designers and developers, we are often tasked with creating a fresh data model for use by a new application that is being developed for a specific project However, in many cases we are asked to review an existing model or physical implementation to identify potential performance improvements Additionally, we are occasionally asked to solve logic problems in the original design Whether you are reviewing a current design you are working on or evaluating another design that has already been implemented, there are a few common steps that you must perform regardless of the project or environment One of the very first steps is to determine the normal form of the existing database This information helps you identify logical errors in the design as well as ways to improve performance To determine the normal form of an existing model, follow these steps 1 Conduct requirements interviews As with the interviews you conduct when starting a fresh design, it is important to talk with key stakeholders and end users who use the application being supported by the database There are two key concepts to remember First, do this work before reviewing the design in depth Although this may seem counterintuitive, it helps prevent you from forming a prejudice regarding the existing design when speaking with the various individuals involved in the project Second, generate as much documentation for this review as you would for a new project Skipping steps in this process will lead to poor design decisions, just as it would during a new project 2 Develop a basic model Based on the requirements and information you gathered from the interviews, construct a basic logical model You ll identify key entities and their relationships, further solidifying your understanding of the basic database design 3 Find the normal form Compare your model to the existing model or database Where are the differences Why do those differences exist Remember not to disregard the design decisions in the legacy database It s important to focus on those differences, because they may stem from specific denormalization steps taken during the initial design, or
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