Entities and attributes unable you to explicitly define what information, or data, is being
stored in the database. Relationships are the other powerful feature of relational modeling
and give the modeling technique its name. A relationship is a logical linkage between two
entities that describes how those entities are associated with each other. Think of
relationships as the logical links in a database that turn simple data into useful information.
For instance, our definition of a teacher reads: “A person employed by the college who is
responsible for instructing students in a class.”
A relationship with attributes should be an associative entity when: - All relationships for the associative entity should be many - The associative entity could have meaning independent of the other entities - The associative entity should have attribute(s), but it may or may not have an identifier - The associative entity may participate in other relationships other than the entities of the associated relationship - Ternary relationships should be converted to associative entities
An Entity-Relationship (ER) model is commonly referred to as a semantic data model. It focuses on defining the entities, attributes of the entities, and the relationships between entities to capture the meaning of data in a domain. This model helps to visualize and understand the semantics of the data being represented.
The different types of information represented in an ER diagram are entities (represented by rectangles), attributes (represented by ovals connected to entities), and relationships between entities (represented by diamonds). Entities are the objects or concepts about which data is stored, attributes are the properties of entities, and relationships define how entities are connected to each other.
In an ER diagram, the types of data models created in sequence are entities, attributes, relationships, and constraints. Entities represent the real-world objects, attributes describe the properties of entities, relationships establish connections between entities, and constraints define rules for the relationships or attributes. This sequence helps in organizing the structure and relationships of the data model effectively.
If you have a many-to-many relationship between two entities you create an intermediate entity between.Now, the relationship between the first entity and intersection entity is one-to-many, and the relationship between the second entity and intersection entity is one-to-many also.
A binary relationship is a type of relationship between the entities, which links to types of entities in it.
Associative entities are used in Entity-Relationship (ER) models to represent relationships between two or more entities. They help to model complex relationships that have attributes of their own. By using associative entities, we can accurately capture the associations between the main entities and represent them in a clear and normalized way.
ERD is an Entity Relationship Diagram which is a graphical representation of database entities (tables, table columns, table definitions, attributes) and inter-relationships between these entities (how the tables are connected).
To draw a relationship diagram, start by placing relationship at the center of the paper. Connect entities to the relationship, and branch out with the different attributes.
Database
A relationship with attributes should be an associative entity when: - All relationships for the associative entity should be many - The associative entity could have meaning independent of the other entities - The associative entity should have attribute(s), but it may or may not have an identifier - The associative entity may participate in other relationships other than the entities of the associated relationship - Ternary relationships should be converted to associative entities
It is when 2 entities bang each other really hard
An Entity-Relationship (ER) model is commonly referred to as a semantic data model. It focuses on defining the entities, attributes of the entities, and the relationships between entities to capture the meaning of data in a domain. This model helps to visualize and understand the semantics of the data being represented.
The different types of information represented in an ER diagram are entities (represented by rectangles), attributes (represented by ovals connected to entities), and relationships between entities (represented by diamonds). Entities are the objects or concepts about which data is stored, attributes are the properties of entities, and relationships define how entities are connected to each other.
A data model specifies the rules and concepts on how to represent objects, their descriptions and how they relate. As such, the data model gives the definitions of the attributes and entities, specifies the datatypes of attributes and give relationships between entities.
In an ER diagram, the types of data models created in sequence are entities, attributes, relationships, and constraints. Entities represent the real-world objects, attributes describe the properties of entities, relationships establish connections between entities, and constraints define rules for the relationships or attributes. This sequence helps in organizing the structure and relationships of the data model effectively.
Class diagram