In the data management arena, you may constantly 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 necessary skills, tight timelines and insufficient resources can all contribute. In turn, poor database design leads to many problems down the line, such as sub-par performance, the inability to make changes to accommodate new features, and low-quality data that can cost both time and money as the application evolves.
Addressing some simple data modeling and design fundamentals can greatly alleviate most, if not all, of these concerns. This whitepaper focuses on seven common database design “sins” that can be easily avoided and suggests ways to correct them in future projects.
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