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keyboard_arrow_down Datasets, Assets & Event-Driven Scheduling
Data Engineering Path  ·  Airflow
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Hands-On Quiz — Datasets & Event-Driven Scheduling

Practice Exercises

Exercise 1: Producer/Consumer Pair

Build two DAGs: one that declares a Dataset as an outlet on its final task, and a second scheduled entirely on that Dataset. Trigger the first manually and confirm the second fires automatically.

Exercise 2: Multiple Datasets

Extend Exercise 1 so the consumer DAG is scheduled on two different Datasets. Confirm it does not run until both have been updated at least once since its last run.

Exercise 3: TriggerDagRunOperator vs Dataset

Take the same producer/consumer relationship and rebuild it using TriggerDagRunOperator instead of a Dataset. Compare: which approach required hardcoding the other DAG's ID? Which one shows up in the Datasets UI?

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