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Semantic Models And Metrics

Publish trusted business-facing entrypoints on top of technical transformations.

Use this guide when downstream users need reusable business definitions rather than direct table knowledge.

Inputs

  • a trusted base model
  • key dimensions and time grain
  • metric definitions
  • relationships to other semantic models

Flow

  1. choose the stable base model
  2. create the semantic model and default time dimension
  3. define metrics and relationships
  4. add pre-aggregations when performance matters
  5. test metric queries and attach the entrypoint to a data product

Query Flow

Diagram showing semantic models and metrics being planned into a governed SQL query.

Verification

  • consumers can use the metric interface without reverse engineering joins
  • metric freshness is visible
  • the semantic entrypoint is attached to the right product contract