Make it possible to write SparkSQL without having a Default Lakehouse.
With 3- or 4- part naming, i.e.
[workspace].[lakehouse].[schema].[table]
there should be no need to attach a Lake...
smpa01 Yes, that is available in out of the box Spark SQL, but I believe this idea is about being able to refer to tables using Fabric workspace/lakehouse conventions rather than abfss paths. Similar to Unity Catalog in Databricks. You therefore don't need a default lakehouse if you choose to always specify which lakehouse in each query.
