How far should you go with normalization? I have a decent amount of data in a database. I have well formed tables and good relationships between them with some redundancy in my data. But how far should I go with normalization? Are there performance drawbacks to too much normalization?
You should go as far as you should, and no further. Of course. ~ The problem may be that this 
is a bit of an art, and it's why this isn't a pure science.

Our main product is an analysis and reporting system, and so in that regard, we have quite a few detail records. We initially had it designed with lots of joins on a common ID for some of the child records, but we found that if we denormalized a couple of fields we could cut out a LOT of joins and we could take away a lot of performance headaches.

But we only knew that because we 1) created a "normalized" design, 2) started using it, 3) profiled the actual performance after hundreds of millions of rows across dozens of tables.

The end story is that until we profiled we couldn't know for sure what was going to work for us. We liked the idea of normalizing so we could update more easily, but in the end actual performance was the deciding factor. That's my advice for you: Profile, profile, profile.