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2. Entity–relationship model - Wikipedia

   en.wikipedia.org/wiki/Entity–relationship_model

   An entity–relationship model (or ER model) describes interrelated things of interest in a specific domain of knowledge. A basic ER model is composed of entity types (which classify the things of interest) and specifies relationships that can exist between entities (instances of those entity types).

3. Database design - Wikipedia

   en.wikipedia.org/wiki/Database_design

   A sample entity–relationship diagram One of the most common types of conceptual schemas is the ER ( entity–relationship model ) diagrams. Attributes in ER diagrams are usually modeled as an oval with the name of the attribute, linked to the entity or relationship that contains the attribute.

4. Comparison of database administration tools - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_database...

   Visual schema/E-R design: the ability to draw entity-relationship diagrams for the database. If missing, the following two features will also be missing; Reverse engineering - the ability to produce an ER diagram from a database, complete with foreign key relationships

5. Toad Data Modeler - Wikipedia

   en.wikipedia.org/wiki/Toad_Data_Modeler

   Logical and physical modelling - Build complex logical and physical entity relationship models and reverse, forward, and engineer databases. Reporting - Generate detailed reports on existing database structures. Model customization - Add logical data to user diagrams to customize user models. All Toad products typically have 2 releases per year.

6. Associative entity - Wikipedia

   en.wikipedia.org/wiki/Associative_entity

   An associative entity is a term used in relational and entity–relationship theory. A relational database requires the implementation of a base relation (or base table) to resolve many-to-many relationships. A base relation representing this kind of entity is called, informally, an associative table. An associative entity (using Chen notation)

7. Cardinality (data modeling) - Wikipedia

   en.wikipedia.org/wiki/Cardinality_(data_modeling)

   For example, consider a database of electronic health records. Such a database could contain tables like the following: A doctor table with information about physicians. A patient table for medical subjects undergoing treatment. An appointment table with an entry for each hospital visit. Natural relationships exist between these entities:

8. IDEF1X - Wikipedia

   en.wikipedia.org/wiki/IDEF1X

   Three levels of view are defined in IDEF1X: entity relationship (ER), key-based (KB), and fully attributed (FA). They differ in level of abstraction. The ER level is the most abstract. It models the most fundamental elements of the subject area - the entities and their relationships. It is usually broader in scope than the other levels.

9. Snowflake schema - Wikipedia

   en.wikipedia.org/wiki/Snowflake_schema

   The snowflake schema is a variation of the star schema, featuring normalization of dimension tables. In computing, a snowflake schema or snowflake model is a logical arrangement of tables in a multidimensional database such that the entity relationship diagram resembles a snowflake shape.