https://community.databricks.com/t5/data-engineering/parameterizing-dlt-jobs/m-p/55170#M30254 <P class="">I have observed the use of advanced configuration and creating a map as a way to parameterize notebooks, but these appear to be cluster-wide settings. Is there a recommended best practice for directly passing parameters to notebooks running on a DLT cluster? Specifically, if I have multiple notebooks running simultaneously and want to pass unique parameters to each (e.g., {“name”:”alpha”} for notebook1 and {“name”:”beta”} for notebook2), how can I achieve this without impacting other notebooks on the same DLT cluster? #deltalivetables</P> Tue, 12 Dec 2023 21:39:14 GMT leelee3000 2023-12-12T21:39:14Z https://community.databricks.com/t5/data-engineering/parameterizing-dlt-jobs/m-p/55170#M30254 <P class="">I have observed the use of advanced configuration and creating a map as a way to parameterize notebooks, but these appear to be cluster-wide settings. Is there a recommended best practice for directly passing parameters to notebooks running on a DLT cluster? Specifically, if I have multiple notebooks running simultaneously and want to pass unique parameters to each (e.g., {“name”:”alpha”} for notebook1 and {“name”:”beta”} for notebook2), how can I achieve this without impacting other notebooks on the same DLT cluster? #deltalivetables</P> Tue, 12 Dec 2023 21:39:14 GMT https://community.databricks.com/t5/data-engineering/parameterizing-dlt-jobs/m-p/55170#M30254 leelee3000 2023-12-12T21:39:14Z