Scheduling In Airflow
Watch On Demand
Having the wrong schedule intervals results in wrong data being processed, which means you'll have to arrive at work early to fix your DAG. Who wants that? - Are you confused with the way DAGs are scheduled in Airflow? - Do you know the difference between cron expressions and timedelta objects? - What if you have to run your DAG at different times on different days? - Have you ever heard about data intervals? DAG Scheduling may seem difficult at first, but it is not. The flexibility and freedom that Airflow offers you is incredible, but to really take advantage of it you need to master some concepts first, one of which has just been released in Airflow 2.2 By the end of the webinar, you will be able to define schedule intervals that you thought were impossible before.
A few key takeaways:
- The DAG scheduling concepts to know
- Demystify the schedule interval
- Define any schedule interval you want with the Timetable
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Head of Customer Training