Rayis Imayev continues a series on JSON in Azure Data Factory:
It’s not a new thing to know that we can reference nested elements of ADF activities’ output since it’s represented in JSON format or pass the JSON file content to other tasks/components that can process this format.
But what if you need to pass a complete output of your ADF activity task further down your pipeline. Or you need to pass a JSON array elements to another ADF activity or sub-pipeline as the parameter value. Let’s explore what other options available in Azure Data Factory for this very interesting use case.
Read on for the demo.