Episode 3: Postmortem of a Big, Hairy Data Model

Chris, Dave and Jacob conduct a postmortem on their latest project – bringing to life (don’t be shy, guys, let’s be honest…) one of the Largest-Data-Models-Ever. Taming all that data was a tough job, so we’re here to share the lessons learned. If you want to avoid their mistakes, listen in to hear what these pros uncovered on their adventure.

Key Points

  • Learning curves may be steep, but early work pays off
  • Correctly capturing real-world semantics is key
  • It’s important to identify misrepresentations in initial assumptions early on
  • Data Models need to be built with expansion in mind or they will become brittle

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