In relational databases, data is not stored in a single table.
Large systems divide data into multiple tables.
These tables are connected using relationships.
A table relationship defines how two tables are connected.
Relationships help maintain data accuracy and organization.
They allow databases to store related information separately.
Common examples of related data include users and orders, students and courses, or customers and payments.
Each table stores different information but remains connected.
Another table stores information that depends on the first table.
This dependency creates a relationship between tables.
Relationships help databases avoid duplicate data.
Table relationships are the foundation of SQL joins.
Understanding relationships is required before learning join queries.
This concept is essential for backend development.