Cathrine Wilhelmsen continues a series on Azure Data Factory by looking at triggers:
One important thing to note is that all times are in UTC. And since UTC does not observe daylight saving time… Well, let’s just say that if you need to execute pipelines during the workday and you have business users waiting for data, you may want to plan some trigger maintenance on the days when you fall back or spring forward. I know. Ugh 🙂 I’m hoping for better timezone support in the future 🤞🏻
Schedule triggers and pipelines have a many-to-many relationship. That means that one schedule trigger can execute many pipelines, and one pipeline can be executed by many schedule triggers.
Time-based triggers aren’t the only options, however—Cathrine also looks at the other three possibilities.