![]() ![]() ![]() In this article we’ll focus on seven common database design “sins” that can be easily avoided and suggest ways to correct them in future projects: ![]() The database just comes along for the ride as the application grows in scope and functionality.Īddressing some simple data modeling and design fundamentals can greatly alleviate most, if not all, of these concerns. However, many times it is the tail (i.e., the application) that’s wagging the dog rather than the dog wagging the tail. I constantly hear from data professionals that if you don’t get the data right, nothing else matters. 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. 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. How to avoid the worst problems in database design. ![]()
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