You can now easily add data quality, data validation, and schema validation to your Synapse ETL jobs by leveraging Assert transformation in Synapse data flows. Add expectations to your data streams that will execute from the pipeline data flow activity to evaluate whether each row or column in your data meets your assertion. Tag the rows as pass or fail and add row-level details about how a constraint has been breached. This is a critical new feature to an already effective ETL framework to ensure that you are loading and processing quality data for your analytical solutions.
Read on for the full list of changes.