In the data management arena, you may hear from data professionals that if you don’t get the data right, nothing else matters. Several factors can lead to a poor database design — lack of experience, a shortage of the skills, tight timelines, and insufficient resources can all contribute. Poor database design leads to many problems down the line. Such problems include sub-par performance and the inability to accommodate new features. Also, low-quality data can cost both time and money as the application develops. If you address some simple data modeling and design fundamentals, you can ease most, if not all, of these concerns.
Read the whitepaper “Seven deadly sins of database design” to learn about the seven common database design sins that you can avoid and ways to correct them in future projects.