Design star schemas with AI-assisted dimensional modeling
Generate fact tables, dimension keys, and grain from source data. Review the model visually, then export SQL, dbt, or dashboard-ready artifacts.
From source tables to reviewed dimensional models
AI-assisted fact and dimension generation, visual review, and production-ready export in one workspace.
AI-generated star schema drafts
Point SchemaStruct at source tables and it recommends fact candidates, dimension keys, grain, and derived dimensions. Review and refine before exporting.
Visual fact-dimension layout
See fact and dimension tables laid out on a canvas with relationship edges. Drag, rearrange, and annotate before the model becomes code.
Bronze-to-Gold medallion flow
Design the full medallion stack — Bronze landing, Silver curation, Gold dimensional model — in one workspace with lineage tracing.
Dashboard-ready handoff
Once the star schema is approved, generate KPI starters and BI handoff bundles that read the actual grain and joins.
Common questions
Can SchemaStruct generate a star schema from my source data?
Yes. Import or connect source tables, and SchemaStruct AI recommends fact candidates, dimension keys, grain, and derived dimensions. You review and refine before exporting.
Does SchemaStruct support medallion architecture?
Yes. Design Bronze, Silver, and Gold layers in one workspace. Trace lineage from raw ingestion through curation to the final dimensional model.
Can I export the star schema as SQL or dbt?
Yes. Export reviewed star schemas as dialect-specific DDL, dbt schema.yml, or dashboard-ready KPI bundles.
Design reviewed star schemas from source to production
AI-assisted dimensional modeling, visual review, and deployment-ready handoff.