When deploying notebooks across workspaces via Fabric deployment pipelines, the attached environment does not adapt to the target workspace. I have to manually reconfigure each notebook after every d...
You can use the magic command to set the capacity for the notebook and you can use a workspace variable as the value you set for the capacity setting. For example you can use this: %%configure { "conf": { "spark.sql.shuffle.partitions": "200", "spark.executor.memory": "28g", "spark.driver.memory": "28g" } }
