Warehouse-First Analytics
Internal analytics on one managed cloud warehouse — load everything into it, model it there, serve BI from it.
Last reviewed: Aug 2, 2026
Assumed context
Analysts
Business stakeholders reading dashboards — not applications.
Hours to daily
Daily is common; nothing here is latency-critical.
GB to low TB
Modeled volumes sit comfortably inside warehouse economics.
1–4 people
Analysts outnumber engineers; often no dedicated data engineer at all.
Single cloud
One primary provider; vendor neutrality is not a requirement.
Buy over build
Vendor lock-in is an accepted trade for operating nothing.
Optimizing for: Operating zero data infrastructure; time-to-first-dashboard over portability.
Layers
Data flows left to rightBatch ingestion
Lands source data directly into warehouse tables on a schedule — the EL of ELT, with transformation deferred into the warehouse. In a zero-infrastructure posture this layer must run itself.
Fully managed connectors with someone else on the hook for API drift is exactly this context's buy-over-build trade — for a team without a data engineer, the per-row bill is cheaper than the hire.
If a data-engineering hire exists and consumption pricing has started to sting — the OSS deployment flattens the cost curve for real operational effort.