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A B2B analytics product serves four hundred customers from one pipeline and one cluster. Each uploads their own extract; each sees their own analytics inside the product they pay for. The largest customer sends more in an hour than the smallest sends in a year. Design the pipeline.
The cadence, and the more interesting question of what one run covers.
Practice studio
Run the review to check your architecture against this scenario — a valid DAG, a trigger for the freshness SLA, a transform stage, a quality gate before publish, and a failure path — then defend it in a short interview.
This scenario runs a full workspace — editor, canvas and results side by side. It needs a laptop or desktop to be usable. Open this page on a bigger screen to start building.