
I have a flow that is setup to trigger when a column is modified on a dataverse table.
I also have a dataflow that updates this table daily, issue I am having is that the dataflow is triggering the automation every time it runs on every line even when the specified column does not change. Is there a way to avoid this?
How about the dataflow setting a flag in a column of each row. You may already have this because you somehow changed the data in the data flow.
Then filter the rows in the "When a row is added, modified, or deleted" action for rows that don't have this flag.
Can this work?