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A global retailer publishes a price history that storefronts read to decide what a customer is charged. The pipeline producing it runs on a cluster whose support contract ends on the 31st, and the replacement has never run on real data. You have to move across without a window where nobody wrote, a window where both did, or a switch you cannot throw back.
One schedule or two — and what that choice does to your ability to compare them.
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.