Denormalization can really help large university database systems work better for a few important reasons:
Faster Answers to Questions: Denormalization cuts down on the number of joins needed. This means that when you want to get information, it can be done much faster. This is especially important for making reports and doing analysis.
Easier to Understand: It makes the overall design simpler. When things are less complicated, it’s easier for new developers to learn how everything works.
Combined Data: By grouping together data that is often used together, it stops the need for repeating calculations. This saves time, especially during busy times, like when students are registering for classes.
In short, it’s all about finding the right balance between being efficient and keeping things simple!
Denormalization can really help large university database systems work better for a few important reasons:
Faster Answers to Questions: Denormalization cuts down on the number of joins needed. This means that when you want to get information, it can be done much faster. This is especially important for making reports and doing analysis.
Easier to Understand: It makes the overall design simpler. When things are less complicated, it’s easier for new developers to learn how everything works.
Combined Data: By grouping together data that is often used together, it stops the need for repeating calculations. This saves time, especially during busy times, like when students are registering for classes.
In short, it’s all about finding the right balance between being efficient and keeping things simple!