Hey! So, data normalization is basically like tidying up your closet—instead of throwing everything in one messy pile, you group similar stuff together.
For example, if you have a customer database, you wouldn’t repeat their address every time they order. You’d store it once in a "Customers" table and just reference it elsewhere.
But yeah, over-normalizing can make queries slower since you’re joining a ton of tables. If you’re building something simple, like a small app, you might skip some normalization steps.
Check out tools like Lucidchart or dbdiagram.io to visualize your schema—it helps a ton!
For example, if you have a customer database, you wouldn’t repeat their address every time they order. You’d store it once in a "Customers" table and just reference it elsewhere.
But yeah, over-normalizing can make queries slower since you’re joining a ton of tables. If you’re building something simple, like a small app, you might skip some normalization steps.
Check out tools like Lucidchart or dbdiagram.io to visualize your schema—it helps a ton!