What Is Relation?
Relations are a lot like relationships. Relationships can be casual, and their intensity varies depending on the situation. Relationships can be long-term, or they can be short-term. They sometimes end with a breakup. Relationships are often more meaningful than just random hookups. Relationships can be romantic or platonic, depending on your desire. Relationships have ups and downs, but they're always worth it in the end! Relationships are also kind of like tables in a relational database: they have columns and rows that contain information about different things (people or products), and they allow you to organize your data in a way that makes it significant for you (so you can find what you need when you need it). One of the best features of relational databases is their ability to split and store data in different tables yet still link the disparate data items together. This is accomplished through the service of foreign keys, which allow one table to reference the primary key of another table. This feature enables relational databases to be powerful and efficient stores of information by allowing them to create relationships between different pieces of data that may have been stored in separate tables at first. Relationships are the bread and butter of relational databases. They're the only thing that makes a relational database a relational database. So you can think of relations as the defining feature of relational databases. A relation is also known as a relationship—and you can use it to define the relationships between different entities in your data set. Relationships can be superficial—like the relationship between friends on social media—or complex—like the relationship between people and their pets (where you might have many different types of pets for one person or multiple people for one pet).
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