Sin Yee Teoh Greetings & Welcome to Microsoft Q&A forum!
Currently I can only find 'Archive' option. I would like to permanently delete the files.
In Azure Machine Learning Studio, you can unregister data assets and archive jobs, but these operations don't delete the data.
Archiving data will actually unregister it, which means the metadata (description and tags) associated with the asset will be permanently deleted. The underlying storage and data will not be deleted.
I understand that you would like to delete the data permanently.
As mentioned here, please note that, By design, data asset deletion is not supported.
If Azure machine learning allowed data asset deletion, it would have the following adverse effects:
- Production jobs that consume data assets that were later deleted would fail.
- It would become more difficult to reproduce an ML experiment.
- Job lineage would break, because it would become impossible to view the deleted data asset version.
- You would not be able to track and audit correctly, since versions could be missing.
Therefore, the immutability of data assets provides a level of protection when working in a team creating production workloads.
When a data asset has been erroneously created - for example, with an incorrect name, type or path - Azure Machine Learning offers solutions to handle the situation without the negative consequences of deletion:
If you still want to entirely remove the data, data assets and job data require deletion at the storage level. Storage level deletion happens in the portal. You can navigate to Storage account and delete these
Please see Export or delete your Machine Learning service workspace data for more details.
Hope this helps. Do let me know if you have any other queries.
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