Normalization is like the Marie Kondo of databases lol. You organize data so it "sparks joy" (or at least doesn’t cause chaos).
The main goal? Avoid duplicate data and weird inconsistencies. Like, if you update a customer’s email in one place, it should update everywhere.
But yeah, there’s a trade-off. Super normalized databases can get slow for heavy reads. That’s why data warehouses often denormalize for faster queries.
If you’re hands-on, try playing with SQLite and normalize a simple dataset—you’ll see the difference real quick!
The main goal? Avoid duplicate data and weird inconsistencies. Like, if you update a customer’s email in one place, it should update everywhere.
But yeah, there’s a trade-off. Super normalized databases can get slow for heavy reads. That’s why data warehouses often denormalize for faster queries.
If you’re hands-on, try playing with SQLite and normalize a simple dataset—you’ll see the difference real quick!