It is when 2 entities bang each other really hard
In an Entity-Relationship Diagram (ERD), cardinalities define the relationships between entities. Common cardinalities include: One-to-One (1:1) - Each entity in set A is related to one entity in set B and vice versa. One-to-Many (1:N) - An entity in set A can relate to multiple entities in set B, but an entity in set B relates to only one in set A. Many-to-One (N:1) - Multiple entities in set A can relate to one entity in set B. Many-to-Many (M:N) - Entities in set A can relate to multiple entities in set B and vice versa. Zero or One (0..1) - An entity may or may not have a relationship with another entity. Zero or Many (0..N) - An entity can have no relationship or many relationships with another entity. Exactly One (1) - An entity must have exactly one relationship with another entity. At Least One (1..N) - An entity must have at least one relationship but can have many. At Most One (0..1) - An entity can have no relationship or one relationship, but not more. Optional (0..M) - An entity may have zero or more relationships with another entity. These cardinalities help in modeling the data structure and understanding the interactions between different entities.
Distinguish between a public law relationship and a private law relationship.
What is the relationship between ethics and WHAT? You need at least two things to have a relationship.
a relationship between brothers should be sacred and good....
there is no relationship
A binary relationship is a type of relationship between the entities, which links to types of entities in it.
Database
Friendship
Class diagram
In Database Analysis and Design; the relationship in an ERD can only be mandatory or optional between two entities. Mandatory is where both entities must be present, whereas with optional, you don't always need two entities.
In a database, a relationship type defines the abstract structure and constraints of how entities are related, including cardinality and participation rules. In contrast, a relationship instance represents a specific occurrence of that relationship type, linking actual records in the database. Essentially, the relationship type serves as a blueprint, while the relationship instance is the tangible connection between entities in the data.
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.
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.
There is no direct relationship between spiders, bananas, and the number 2. They are unrelated entities with no inherent connection to each other.
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 diagram (ERD) represents the entities, or groups of information, and their relationships maintained for a business. An entity relationship diagram represents the entities, or groups of information, and their relationships maintained for a business. An entity relationship diagram represents the entities, or groups of information, and their relationships maintained for a business.
In zero correlations, there is either a) no meaningful relationship between the two variables (the association is a random one) or b) the relationship is other than linear (i.e., a curvilinear relationship).An example of a zero correlation with no meaningful relationship is... the more you masturbate the more kittens die of unexplained deaths.An example of a zero correlation with a curvilinear relationship - the taller a stripper is, the more she weighs.