DATA LESSONS FROM INSIDE META (SHRIDHAR IYER)

Summary from the TLDR Data newsletter

Meta's data platform evolved into a strongly typed, unified stack with centralized catalog, taxonomy, lineage, and policy layers. Its scale lessons: one truncated debug column saved millions of dollars, core tables serving 40–50% of the warehouse required versioning rather than deletion, and AI-readiness starts with reusable workflow primitives.