Beginning Relational Data Modeling, Second Edition by Sharon Allen, Evan Terry

By Sharon Allen, Evan Terry

*Immediately obtainable to somebody who needs to layout a relational facts model―regardless of previous adventure

*Concise, undemanding factors to a frequently advanced/ jargon-rich self-discipline

*Examples are in keeping with huge writer event modeling for genuine enterprise platforms

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Example text

These tasks should be completed within the enterprise standards and project schedule. They should satisfy business requirements as completely as possible or manage deviations by providing viable alternate solutions to the development team. ● Documenting, designing, researching, guiding, auditing, and/or inspecting each project data element and creating a high-quality set of metadata as a part of the project deliverable to support enterprise goals. ● Encouraging, enabling, and empowering efficient, safe, maintainable, reliable, quality data structure development for the creation, maintenance, and accessibility of To-Be enterprise data assets.

Relational theory was developed to propose rules for organizing data in a new way. The priority for this new data organization was to reduce redundancy and data maintenance anomalies. The reason it was called a theory was that these rules for organizing and storing data are based upon the mathematical concepts of relational set theory, which began to be explored in depth by George Cantor in the 1800s. This means that relational theory isn’t just a database design standard, as you can use relational set theory techniques to document data characteristics without considering any physical deployment of a database platform.

No single attribute is allowed to hold more than one value at one time. First Normal Form (1NF) The appropriateness of the primary key. Second Normal Form (2NF) The dependence of all attributes on all aspects of the primary key. Third Normal Form (3NF) The dependence of any attribute on any attribute other than the primary key. Boyce-Codd Normal Form (BCNF) Verifies that all data sets are identified and segregated. Fourth Normal Form (4NF) Verifies that all attributes are single valued for a member of the set.

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