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Data integration patterns that scale BI
Practical patterns for integrating operational systems into a warehouse without fragile point-to-point feeds.
Data integration patterns that scale BI
BI platforms stall when every new source becomes a custom one-off. Stable integration patterns keep pipelines boring—and boring is what executives want on Monday morning.
Prefer batch contracts first
Agree on extract schedules, primary keys, and late-arriving data rules before building fancy streaming. Most KPI decisions tolerate minutes or hours of latency.
Isolate landing from modeling
Land raw data as-is, then model into clear facts and dimensions. Mixing cleansing with source quirks in one job makes failures hard to diagnose.
Automate reconciliation
Compare source counts and amounts to warehouse loads. Silent partial failures are the enemy of trusted reporting.
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