Denormalized == stupid design and bad data. ok, that's my interpretation. Depending on the application requirements it might be a good idea to denormalize some of the data for various reasons.
snip from the below perl link:
Quote:
|
The process of rationalizing your data into tables to avoid data redundancy is known as normalization. The corollary operation is known as denormalization and can be desirable in certain situations.
|
Yeah, I didn't know what the specific buzzword meant either until I googled it. Although they should have at least elaborated a bit with a scenario.
http://www.winnetmag.com/SQLServer/A...987/22987.html
http://www.hk8.org/old_web/linux/dbi/ch03_01.htm