Export and delete in-product user data from Azure Machine Learning Studio

You can delete or export in-product data stored by Azure Machine Learning Studio by using the Azure portal, the Studio interface, PowerShell, and authenticated REST APIs. This article tells you how.

Telemetry data can be accessed through the Azure Privacy portal.

Note

For information about viewing or deleting personal data, see Azure Data Subject Requests for the GDPR. For more information about GDPR, see the GDPR section of the Service Trust portal.

Note

This article provides steps for how to delete personal data from the device or service and can be used to support your obligations under the GDPR. If you’re looking for general info about GDPR, see the GDPR section of the Service Trust portal.

What kinds of user data does Studio collect?

For this service, user data consists of information about users authorized to access workspaces and telemetry records of user interactions with the service.

There are two kinds of user data in Machine Learning Studio:

  • Personal account data: Account IDs and email addresses associated with an account.
  • Customer data: Data you uploaded to analyze.

Studio account types and how data is stored

There are three kinds of accounts in Machine Learning Studio. The kind of account you have determines how your data is stored and how you can delete or export it.

  • A guest workspace is a free, anonymous account. You sign up without providing credentials, such as an email address or password.
    • Data is purged after the guest workspace expires.
    • Guest users can export customer data through the UI, REST APIs, or PowerShell package.
  • A free workspace is a free account you sign in to with Microsoft account credentials - an email address and password.
    • You can export and delete personal and customer data, which are subject to data subject rights (DSR) requests.
    • You can export customer data through the UI, REST APIs, or PowerShell package.
    • For free workspaces not using Azure AD accounts, telemetry can be exported using the Privacy Portal.
    • When you delete the workspace, you delete all personal customer data.
  • A standard workspace is a paid account you access with sign-in credentials.
    • You can export and delete personal and customer data, which are subject to DSR requests.
    • You can access data through the Azure Privacy portal
    • You can export personal and customer data through the UI, REST APIs, or PowerShell package
    • You can delete your data in the Azure portal.

Delete workspace data in Studio

Delete individual assets

Users can delete assets in a workspace by selecting them, and then selecting the delete button.

Delete assets in Machine Learning Studio

Delete an entire workspace

Users can also delete their entire workspace:

  • Paid workspace: Delete through the Azure portal.
  • Free workspace: Use the delete button in the Settings pane.

Delete a free workspace in Machine Learning Studio

Export Studio data with PowerShell

Use PowerShell to export all your information to a portable format from Azure Machine Learning Studio using commands. For information, see the PowerShell module for Azure Machine Learning Studio article.

Next steps

For documentation covering web services and commitment plan billing, see Azure Machine Learning Studio REST API reference.