By Eric Johnson
Powerful information modeling is vital to making sure that your databases will practice good, scale good, and evolve to fulfill altering necessities. notwithstanding, in case you are modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic information modeling wisdom is not sufficient: versions that do not mirror SQL Server's distinct real-world strengths and weaknesses frequently bring about disastrous functionality.
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Extra info for A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008
Logical Elements When you start modeling, you begin with the logical modeling. The logical model is a representation of the data in a way that can be presented to the business as well as serve as a road map for the physical implantation. The main elements of a logical model are entities, attributes, and relationships. Entities are logical groupings of data, such as all the information that describes a customer. Attributes are the pieces of information that make up entities. For a customer, the attributes might be things like name, address, or phone number.
A variable-length field is defined as a field having no more than the number of characters specified in the length designation. To contrast char with varchar, specifying char(10) results in a field that contains ten characters, even if a specific instance of an entity has six characters in that specific attribute. The remaining four characters are padded. If the attribute is defined as a varchar(10), then there will be only six actual characters stored. The n prefix specifies that the data is being stored in a Unicode format.
Info 38 Chapter 2 Elements Used in Logical Data Models You can see that there is a relationship between the entities such that you might have more than one dean for each school. This relationship is inherently scalable, because the separate entities can be updated and managed independently. Many-to-Many Relationships Of the logical relationships, many-to-many relationships, also called nonspecific relationships, are the most difficult concept, and possibly the most difficult to design. To simplify, in a many-to-many relationship the objects in an entity can be related to more than one object in a secondary entity, and the secondary objects can be related to more than one object in the initial entity.
A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008 by Eric Johnson