Applying Normalized Tables And The Model Of The Entity Relationship Diagram Can Then Improve The Conceptual Model

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then be able to identify the dependencies between the attributes, and then create normalized tables directly based on those dependencies. More often than not this can be done mentally or on paper before the tables are even added to the actual design.
Normalization appropriates the affiliation amongst all of the attributes within the entity table to achieve its goal. Since the Entity Relationship Diagram will also contain the appropriations amongst the attributes, as a common base to identify the entity type structure, than it is possible to then apply the normalization principles, all during the conceptual data modeling phase. Enacting Normalization during the Entity Relationship Diagram can then improve the conceptual model, and therefore
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The relationship are then indicated by the common columns, or the domains, in the data tables are related. The Transitive Dependency within an entity type takes place of the non entity attributive attributes have dependency amongst there selves. Multi - Valued dependency likeness in the Entity Relationship Diagram can take place when the attributes within the entity example have more than one value. This is a potential instance when some attributes within an entity examples have the maximum cardinality of n, or more than 1. When the attribute has lots of values in an entity example, this can be setup either as the composite key modifier of the entity type, or then split into the weak entity type.
Normalized Entity Relationship represents the dependency approach in Entity Relationship Diagram toward the intended use in the application of normal form. Normalization is a many step occurrence that begins with “unnormalized” relations.The first set up in normalization is to appropriate the data into a two dimensional table. In an unnormalized relation the data can repeat within the columns. To be able to move to a first normal form a relation must also contain only the atomic values at each of the rows and columns. So this means no repeating groups, and a set of columns will be named the Candidate key when its value can
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