Built-in ML · Power BI / BigQuery
Built-in ML (Power BI / BigQuery): in-place training
Power BI dataflows AutoML and BigQuery ML with SQL/low-code modeling
Power BI dataflows AutoML and BigQuery ML let analysts train models where the data lives, using SQL or guided templates without exporting data. They cover regression, classification, clustering, and time series with predictions written back to reports or tables.
In-place training
Run models inside dataflows or the warehouse to avoid data movement and simplify compliance.
SQL/low-code
BigQuery ML uses SQL statements; Power BI offers wizard-driven AutoML templates.
Report-ready outputs
Write predictions back to datasets/tables and reference them directly in BI with scheduled refreshes.
Reuse governance
Leverage existing Power BI/BigQuery permissions, encryption, and cost/quotas for managed rollout.
适用场景 / Use cases
- Demand/sales forecasting and inventory planning
- Churn/conversion/propensity scoring
- Fast model proofs inside BI reports
- Empowering analysts to finish ML inside the warehouse/BI