Azure Data Factory is a fully managed, cloud-based data orchestration service that enables data movement and transformation. Schedule trigger for Azure Data Factory can automate your pipeline execution. You can create the Azure Data Factory Pipeline using Authoring Tool, and set up a code repository to manage and maintain your pipeline from local development IDE. The Monitoring option available under Authoring tool allows us to monitor the pipeline execution, as well as we can re-run any of the pipelines. You can run the data factory pipeline instantly or create a new trigger point.
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Schedule trigger for Azure Data Factory
There are three different types of trigger that you can set for Azure Data Factory execution.
- Schedule
- Tumbling Window
- Event
When we choose to schedule a trigger, select the “New/Edit” option. Trigger Now, will execute the pipeline instantly.
It will bring the Add Triggers blade. You can choose an existing Trigger or Click on “New” to create a new trigger.
Related Tips: Exploring Azure Data Factory Activity Execution Details
Selecting the New option will let you create a new trigger for your Azure Data Factory. Setup your schedule based on your need and finally, save the trigger.
That’s it. With this, you can start scheduling your ADF pipeline for recurrence and automatic execution.
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