Model governed metrics and dimensions with caching and consistent delivery to BI tools
No sign-up required • Free to try
Design data warehouse architectures with dimensional modeling, ETL processes, and BI reporting layers
Add profiling, testing, SLAs, and alerting to keep data trustworthy end to end
Implement policies, access controls, lineage, and approvals to keep data compliant
Common questions about ai bi semantic layer generator
Use a central catalog with owners, formulas, dimensions, and tests. Version metrics and document them.
Enforce definitions in one layer, run contract tests, and block breaking changes before release.
Expose SQL endpoints/connectors for Looker, Tableau, Power BI. Keep row-level security consistent.
Use materializations, aggregates, and smart caches. Invalidate on source changes or schedule refresh.
Apply RBAC/ABAC to metrics/dimensions, log queries, and audit who used which metric.
Signing up costs nothing and every feature is included. Only AI generation is metered, in credits.