THE FIVE CAMPS OF DATA MODELING (AND WHICH ONE YOU'RE STUCK IN)

Summary from the TLDR Data newsletter

Data modeling grew up in five separate camps: relational, analytics, application, ML/AI, and knowledge/ontology, each solving different problems with real blind spots. One JSON product catalog can satisfy an application while breaking analytics, ML, and governance, producing brittle pipelines and lost dashboard trust. Modern stacks span all five camps at once, so shared literacy across them matters more than any single modeling tradition.