Alation announced that its Data Products Marketplace now includes Semantic Model Mastering, a new capability that lets enterprises catalog semantic models from any platform, govern them as data products, and sync back to source systems.
For data stewards and data product owners managing semantic models across multiple platforms, this closes a gap by providing central governance for the context that AI depends on, according to Alation.
Semantic Model Mastering is available now via YAML upload, with expanded Snowflake connector and syncing support offered this month.
Semantic Model Mastering extends the Data Products Marketplace to close the govern-once, activate-everywhere loop. Features include:
Create data products from any source: Ingest Snowflake semantic views through the expanded connector or bring in definitions from BI tools such as Power BI and Tableau. Each path produces a governed data product aligned with the Open Semantic Interchange standard.
Govern through data products: Promote cataloged semantic models to data products with ownership assignment, approval workflows, version control, and quality standards. The data product becomes the mastered version, governed in one place regardless of origin.
Enrich beyond what any single platform provides: Alation adds business context that goes beyond the technical metadata available within any one platform. Richer context flows through to downstream AI features, improving their performance without changing how teams work.
Sync back to source systems: Materialize enriched data products back to source platforms. AI features then operate on governed, enriched definitions without users ever entering Alation.
Alation is a launch partner alongside Snowflake for the Open Semantic Interchange.
For more information about this news, visit www.alation.com.