从 Azure 机器学习工作室(经典版)中导出和删除产品内用户数据Export and delete in-product user data from Azure Machine Learning Studio (classic)

适用于: yes机器学习工作室(经典) noAzure 机器学习APPLIES TO: yesMachine Learning Studio (classic) noAzure Machine Learning

可以使用 Azure 门户、工作室(经典版)界面、PowerShell 和经过验证的 REST API 删除或导出 Azure 机器学习工作室(经典版)存储的产品内数据。You can delete or export in-product data stored by Azure Machine Learning Studio (classic) by using the Azure portal, the Studio (classic) interface, PowerShell, and authenticated REST APIs. 本文介绍了相关实现方法。This article tells you how.

可通过 Azure 隐私门户访问遥测数据。Telemetry data can be accessed through the Azure Privacy portal.

备注

有关查看或删除个人数据的信息,请参阅 GDPR 的 Azure 数据使用者请求For information about viewing or deleting personal data, see Azure Data Subject Requests for the GDPR. 有关 GDPR 的详细信息,请参阅服务信任门户的 GDPR 部分For more information about GDPR, see the GDPR section of the Service Trust portal.

备注

本文介绍如何删除设备或服务中的个人数据,并且可为 GDPR 下的任务提供支持。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. 如需关于 GDPR 的常规信息,请参阅服务信任门户的 GDPR 部分If you're looking for general info about GDPR, see the GDPR section of the Service Trust portal.

工作室(经典版)收集哪些类型的用户数据?What kinds of user data does Studio (classic) collect?

对于此服务,用户数据由获权访问工作区的用户的相关信息以及用户与此服务交互的遥测记录组成。For this service, user data consists of information about users authorized to access workspaces and telemetry records of user interactions with the service.

机器学习工作室(经典版)中有两种用户数据:There are two kinds of user data in Machine Learning Studio (classic):

  • 个人帐户数据: 与帐户关联的帐户 ID 和电子邮件地址。Personal account data: Account IDs and email addresses associated with an account.
  • 客户数据: 上传以供分析的数据。Customer data: Data you uploaded to analyze.

工作室(经典版)帐户类型以及数据存储方式Studio (classic) account types and how data is stored

机器学习工作室(经典版)中有三种帐户。There are three kinds of accounts in Machine Learning Studio (classic). 你拥有的帐户类型决定了如何存储数据以及如何删除或导出数据。The kind of account you have determines how your data is stored and how you can delete or export it.

  • 来宾工作区是一个免费的匿名帐户。A guest workspace is a free, anonymous account. 无需提供凭据(例如电子邮件地址或密码)即可注册。You sign up without providing credentials, such as an email address or password.
    • 来宾工作区到期后,数据将被清除。Data is purged after the guest workspace expires.
    • 来宾用户可以通过 UI、REST API 或 PowerShell 包导出客户数据。Guest users can export customer data through the UI, REST APIs, or PowerShell package.
  • “免费工作区”是一个试用帐户,使用 Microsoft 帐户凭据(电子邮件地址和密码)登录到其中。A free workspace is a trial account you sign in to with Microsoft account credentials - an email address and password.
    • 可以导出和删除受数据主体权限 (DSR) 请求影响的个人及客户数据。You can export and delete personal and customer data, which are subject to data subject rights (DSR) requests.
    • 可以通过 UI、REST API 或 PowerShell 包导出客户数据。You can export customer data through the UI, REST APIs, or PowerShell package.
    • 对于不使用 Azure AD 帐户的免费工作区,可使用隐私门户导出遥测数据。For free workspaces not using Azure AD accounts, telemetry can be exported using the Privacy Portal.
    • 删除工作区时会删除所有个人客户数据。When you delete the workspace, you delete all personal customer data.
  • 标准工作区是使用登录凭据访问的付费帐户。A standard workspace is a paid account you access with sign-in credentials.
    • 可以导出和删除受 DSR 请求影响的个人及客户数据。You can export and delete personal and customer data, which are subject to DSR requests.
    • 可以通过 Azure 隐私门户访问数据You can access data through the Azure Privacy portal
    • 可以通过 UI、REST API 或 PowerShell 包导出个人及客户数据You can export personal and customer data through the UI, REST APIs, or PowerShell package
    • 可以在 Azure 门户中删除数据。You can delete your data in the Azure portal.

删除工作室(经典版)中的工作区数据Delete workspace data in Studio (classic)

删除各项资产Delete individual assets

用户可以通过选择工作区中的资产并选择删除按钮来删除这些资产。Users can delete assets in a workspace by selecting them, and then selecting the delete button.

删除机器学习工作室(经典版)中的资产

删除整个工作区Delete an entire workspace

用户也可以删除其整个工作区:Users can also delete their entire workspace:

  • 付费工作区:通过 Azure 门户进行删除。Paid workspace: Delete through the Azure portal.
  • 免费工作区:使用“设置”窗格中的“删除”按钮。Free workspace: Use the delete button in the Settings pane.

删除机器学习工作室(经典版)中的免费工作区

使用 PowerShell 导出工作室(经典版)数据Export Studio (classic) data with PowerShell

可通过 PowerShell 使用命令将 Azure 机器学习工作室(经典版)中的所有信息导出为可移植格式。Use PowerShell to export all your information to a portable format from Azure Machine Learning Studio (classic) using commands. 有关信息,请参阅 Azure 机器学习工作室(经典版)PowerShell 模块一文。For information, see the PowerShell module for Azure Machine Learning Studio (classic) article.

后续步骤Next steps

有关介绍 Web 服务和提交计划计费的文档,请参阅 Azure 机器学习工作室(经典版)REST API 参考For documentation covering web services and commitment plan billing, see Azure Machine Learning Studio (classic) REST API reference.