Hi @Qanita Zia,
Thank you for reaching out to Microsoft Q&A forum!
In Azure Machine Learning Studio there is no direct option to delete the dataset. However, you can unregister data assets and archive jobs.
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.
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.
If you still want to entirely remove the data assets at the storage level. Storage level deletion happens in the portal. You can navigate to Storage account and delete the data assets.
Please see Export or delete your Machine Learning service workspace data for more details.
I hope you understand. Do let us know if you any further queries.
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