Knowledge base
Compute
Serverless and classic compute, policies, runtimes, Photon, and workload controls.
Learn#
- Well-Architected Lakehouse — reference · generated · needs review
- Community best practices — synthesis · curated · current
Build#
- Lakeflow data engineering — Build and run ingestion, declarative pipelines, orchestration, replay, and reconciliation.
- SQL and BI — Operate warehouses, dashboards, Genie, external BI, access controls, and cost.
- AI and ML platform — Put MLflow, serving, Vector Search, evaluation, governance, and observability into production.
Operate#
- Platform lessons — guide · curated · needs review