Think of data normalization as the rulebook for keeping your database clean and efficient. You split data into tables so you don’t repeat yourself (like DRY for databases).
Why bother? Because duplicates can lead to errors—like updating a product price in one place but missing it in another.
But yeah, sometimes you bend the rules. Analytics databases often denormalize for faster queries.
If you’re new, the Wikipedia page on database normalization is surprisingly helpful (and free!).
Why bother? Because duplicates can lead to errors—like updating a product price in one place but missing it in another.
But yeah, sometimes you bend the rules. Analytics databases often denormalize for faster queries.
If you’re new, the Wikipedia page on database normalization is surprisingly helpful (and free!).