Configure AtScale as a universal semantic layer over Snowflake using the Open Semantic Interchange (OSI) standard to expose governed metrics to Power BI and AI agents

domain: www.atscale.com · 5 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Connect AtScale to your Snowflake account by providing warehouse connection credentials and selecting the schemas that contain your fact and dimension tables
  2. Use AtScale's modeling interface or AI-assisted One-Click Modeling to generate an initial semantic model including measures, dimensions, hierarchies, and join relationships from the Snowflake schema
  3. Publish the semantic model and obtain the AtScale XMLA endpoint URL, which allows Power BI Desktop and Excel to connect as if connecting to an Analysis Services model
  4. For AI agent access, use AtScale's REST or SQL API to expose named metrics and dimensions; the OSI standard ensures metric definitions remain portable and can be synchronized with Snowflake Semantic Views or other OSI-compatible tools
  5. Apply AtScale role-based access controls to restrict metric visibility and row-level data access per team, independent of underlying Snowflake role assignments

Known gotchas

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