Semantic layer & auto-mapping

How do you manage versioning and change management in a semantic layer?

How do you manage versioning and change management in a semantic layer?

How do you manage versioning and change management in a semantic layer?

Versioning is vital to avoid breaking reports or models when metric definitions change.

Store the semantic layer configuration as code (e.g., YAML or JSON) in a source control system.

Use branches or feature flags to introduce new metrics and test them before promoting to production.

Communicate changes to stakeholders and provide migration paths when formulas or names evolve.

Many platforms support multiple semantic layer versions coexisting, allowing old reports to run while new definitions are tested.

MageMetrics treats the semantic model as a code asset, integrates with Git and offers diff tools to review changes.

Hey šŸ‘‹ I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

Hey šŸ‘‹ I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

Hey šŸ‘‹ I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

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BUILD BETTER PRODUCTS

Customer-facing analytics for teams that ship

Easy to deploy

•

Easy to customize

•

Easy to love

Ā© 2025 MageMetrics SA. All rights reserved.

BUILD BETTER PRODUCTS

Customer-facing analytics for teams that ship

Easy to deploy

•

Easy to customize

•

Easy to love

Ā© 2025 MageMetrics SA. All rights reserved.