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Not doing the correct level of [normalization][1]. You want to make sure that data is not duplicated, and that you are splitting data into different as needed. You also need to make sure you are not following normalization *too* far as that will hurt performance.
1. Not using version control on the database schema
2. Working directly against a live database
3. Not reading up and understanding more advanced database concepts (indexes, clustered indexes, constraints, materialized views, etc)
4. Failing to test for scalability ... test data of only 3 or 4 rows will never give you the real picture of real live performance
Number one problem? They only test on toy databases. So they have no idea that their SQL will crawl when the database gets big, and someone has to come along and fix it later (that sound you can hear is my teeth grinding).
Treating the database as just a storage mechanism (i.e. glorified collections library) and hence subordinate to their application (ignoring other applications which share the data)