Five Data Model Mistakes Common to Startups
Posted on May 9, 2017
Hyperfocus on the first customers and the MVP can often lead to these five common datamodeling mistakes
It's not surprising to come across a floundering B2B startup in the process of a significant code rewrite. New features to attract customers would appear to be the logical approach in such times, but new features may be nearly impossible to build because of basic data-model mistakes made early in the life of the company. Most developers are familiar with the convention that a bug in production is more costly than a bug in development. Likewise, poor data structures behind production data can be crippling in critical situations.
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