Hello @antr!

In DLT, a full refresh on a streaming table resets state processing and checkpoint data, potentially disrupting downstream processes that rely on it. To avoid this, use incremental updates (default) or append mode instead of full refreshes whenever possible.
Since DLT automatically repopulates tables after a refresh, schedule downstream jobs to run only after the pipeline completes to ensure data availability.