TLDR Tech / Data
Analytics Engineering's Unfinished Work
Analytics engineering is resurging as semantic layers, AI context, and structured business logic become critical across structural, measurement, and interpretive tiers. dbt shaped the role but narrowed it to SQL. With AI agents consuming business logic, ambiguity is riskier, making strong context engineering and clear semantics essential to keep data trusted and machine-ready.
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