Data flow creating schema instead of a table

Hello, I've just implemented my first Data flow that basically takes several tables from a SQL Server DB and makes some basic cleaning and transformation. I then chose as the destination a newly created Lakehouse within Fabric since I want to process it further through a notebook. My problem is that no matter how many times I do it, I don't see the result of the data flow as a table in the lakehouse, instead I see it as a schema and a folder structure with the name "Without identification" (the table name I chose in the data flow was "silver_data"). When I click on the "Sin identificar" folder I see a toaster message saying "These objects can not be identified as tables. To maintain them in lakehouse, move them to Files".

This makes the access to the "table" quite impossible with pyspark. Is this the expected behaviour? Or am I missing something? (I'm new here😅)

Thank you very much in advance!

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