Data Models and Data dictionaries


Data Models Data Dictionary

Here we will study about Data Models Data Dictionary and their advantages :

Data Models

The models that are used to describe the logical structure of data processed by the system are known as data models.

  • An entity-relation-attribute model sets out the entities in the system, the relationships between these entities and the entity attributes.
  • Widely used in database design.
  • Can readily be implemented using relational databases.
  • No specific notation provided in the UML but objects and associations can be used.

 

An example of data model can be shown by drawing the Library semantic model as shown below:Data Models Data Dictionary

Fig: Library semantic model

 


Data dictionaries

The set of information describing the contents, format, and structure of a database and the relationship between its elements, used to control access to and manipulation of the database are known as data dictionaries.

  • Are the lists of all of the names used in the system models.
  • Descriptions of the entities, relationships and attributes are also included.
  • Many CASE workbenches support data dictionaries.

Advantages

  • Support name management and avoid duplication.
  • Store of organizational knowledge linking analysis, design and implementation.

Data Models Data Dictionary are explained with their advantages.

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A Soon-to-be Computer Engineer by profession, he has profound devotion to add Data Scientist as a prefix to his name. He’s been to the nooks of the web (at least of the surface web) and planning to add some real figures in his pocket!

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