6.6

The Insanity of Data Education

Data ModelingCareerIndustry CommentaryData Engineering

Joe Reis argues that the data industry's 40-year failure to effectively teach data modeling and governance is not the fault of practitioners, but of educators and organizations that refuse to adapt their approach. Drawing on survey data showing 89% of professionals struggling with data modeling, he contends that time pressure, lack of ownership, and condescending educational methods perpetuate the cycle of dysfunction.

The data industry's education crisis is not a knowledge problem but an empathy and delivery problem — blaming practitioners for 40 years of ineffective teaching is insanity, and the fix requires meeting people where they are with pragmatic, engaging material and organizational support.
  • 7

    If the data industry has been teaching and preaching the same way for four decades and the vast majority of practitioners are still struggling, clearly the approach hasn't worked.

  • 6

    Doing the same thing over and over again and expecting different results is the literal definition of insanity. Yet, the data industry keeps insisting that if we just shout louder at people, they'll finally get it.

  • 7

    When someone's hair is on fire, they don't need a lecture on the chemical composition of fire; they need a bucket of water.

  • 8

    If your documentation, training, or book is boring AF, it's going to lose to ChatGPT, Slack pings, endless meetings, and doomscrolling.

  • 5

    Never underestimate how little people know about a topic. Make the material almost absurdly digestible, approachable, and maybe even a little fun.

critical, passionate, pragmatic