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The Semantic Layer of Metadata
How to connect concepts, rules, and business meaning across your metadata mesh
Summary
As we scale metadata-driven modeling across teams, we eventually hit a new challenge: We know how data flows — but do we know what it means?
We can trace lineage and structure across thousands of tables, yet still struggle to answer basic business questions like:
🔹What exactly is a “Customer”?
🔹How does “Revenue” differ between domains?
🔹Which policies govern “Personal Data”?To solve this, we need a Semantic Layer — a layer of meaning that links metadata, business rules, and governance policies into a unified understanding.
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1. From Metadata to Semantics
Let’s recap the evolution so far:
The semantic layer doesn’t replace metadata — it enriches it. It connects entities to their business definitions, rules, and governance context.
