Sure - I've checked the requirements:

• The workspace must have Unity Catalog enabled. It's enabled.

• Tables must be registered in a Unity Catalog metastore. They are. I'm just using the sample Unity Catalog lineage notebook located here: https://notebooks.databricks.com/demos/uc-03-data-lineage/index.html

• Queries must use the Spark DataFrame (for example, Spark SQL functions that return a DataFrame) or Databricks SQL interfaces. For examples of Databricks SQL and PySpark queries, see Examples. They are - I'm using the sample notebook, which is interfacing with UC via Databricks SQL.

• To view the lineage of a table or view, users must have at least the BROWSE privilege on the table’s or view’s parent catalog. I am the owner of the catalog and have ALL PRIVILEGES on it as well.

• To view lineage information for notebooks, workflows, or dashboards, users must have permissions on these objects as defined by the access control settings in the workspace. See Lineage permissions. I have permissions to all of the objects in the loop - the notebook, as well as the catalog.

• To view lineage for a Unity Catalog-enabled pipeline, you must have CAN_VIEW permissions on the pipeline. I'm not using a pipeline in my testing.