Pretty much the same as between a robber and a victim, except the taxpaying "victim" has to save lots of data and fill in lots of forms _before_ he is legally "robbed" whereas the victim of an illegal criminal has to fill in the police report and insurance claim _after_ he is deprived of his money.
OK, seriously, the tax-paying entity pays tax to the government so the tax-paying entity is a remitter or payer or debtor and the government is a remittee or payee or creditor.
ENHANCED ENTITY RELATIONSHIP OR EXTENDED ENTITY RELATIONSHIP
Entity-relationship model advantages and disadvantages AdvantagesDisadvantagesConceptual simplicityVisual representationEffective communicationIntegration with the relational database modelLimited constraint representationLimited relationship representationNo representation of data manipulationLoss of information
In an Entity-Relationship (E-R) diagram, an entity set is typically represented by a rectangle. Each rectangle contains the name of the entity set, which corresponds to a collection of similar entities. Attributes of the entities can be depicted as ovals connected to the rectangle, while relationships between different entity sets are shown using diamonds. This visual representation helps in understanding the structure and relationships within a database.
yes. For example, only one person actually "participates" in the stalker/victim relationship.
Entity means a specific thing in both database work and data modeling. An entity is data that can be classified, and has a relationship with other classified data, as in entities.
A relationship between instances of a single entity type is called a self-relationship or recursive relationship. This type of relationship occurs when an entity is related to other instances of the same entity type within the same entity set.
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.
Entity-Relationship diagrams are useful for modelling data and the relationships between the data. They can be used when the constraints between data are relatively simple. They do not allow specification of interactions between the data or model how the data changes (there are no processes in Entity-Relationship). Entity-Relationship diagrams are most often used to model databases.
An entity relationship diagram for hotel reservation systems is a map of each entity or thing that has a part in the process of hotel reservations. The diagram maps the relationship between each entity of the process.
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
Degree the number of entity types that participate in a relationship.
An entity-relationship diagram for online banking includes the process of online banking and the relationship between each step. It is a model that maps out, describes, and defines how components are linked for online banking.
ENHANCED ENTITY RELATIONSHIP OR EXTENDED ENTITY RELATIONSHIP
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.
Relation: In Database a relation represents a table or an entity that contain diffrenet attributes.An Entity constructs a relation(table) in DBMS . Relationship: In Data base relationship is that how the two entities are connected to each other ,i.e what kind of relationship type they hold between them.Primary/Foreign key is used to specify or hold this relationship. By Tanzeel Ur Rahman Bhatti
The correct relationship between a state and a nation is that a state is a political entity with defined borders and a government, while a nation is a group of people who share a common culture, history, and identity. A state can be made up of one or more nations, and a nation can exist without its own state. The relationship between the two can vary depending on factors such as governance, autonomy, and recognition.
When a weak entity lacks a candidate key and its instances cannot be uniquely identified without a relationship to another entity, it relies on that relationship to establish its identity. This typically occurs in a one-to-many relationship where the weak entity’s existence is dependent on the strong entity, which provides the necessary identifying attributes. As a result, the weak entity will often include a foreign key from the related strong entity as part of its primary key. Without this relationship, instances of the weak entity would be indistinguishable and cannot be adequately represented in the database.