“We take shortcuts in developing a solution without an understanding of the risks and costs of those shortcuts, and without a realistic plan for how we’re going to pay back the debt ... The result is that data science projects become expensive or impossible to maintain as time goes on.”
This blog post explains how to tell if your projects are too deeply in debt and what to do about it:
https://blog.shotwell.ca/posts/2019-04-19-technical-debt-in-data-science/
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