Exploring Activity Execution Details for an Azure Data Factory could be interesting to review your pipeline. Azure Data Factory is a fully managed, cloud-based data orchestration service that enables data movement and transformation. We setup Data Factory Pipeline to transfer data or transform data with the help of data set and linked service. You can monitor the pipeline runtime and trigger runtime from the Authoring Tool. Monitoring tools also help visualize the Actions for the execution details.
Exploring Azure Data Factory Activity Execution Details
To review the execution details you need to first navigate to monitor option from the authoring tool. You may read this post to understand – How to Monitor Azure Data Factory Pipeline?
In the Activity Runs screen, you will find three different actions
Click on the Input or Output option to view the JSON format for the pipeline input and output dataset.
To view the details of the execution, you have to click on the “Details” option. It will display all the details including start time, duration, size of data, throughout etc.
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