Adding Gmail Data Sources to a Project: Deprecated



Adding Gmail data sources is deprecated. Support will continue for existing Gmail data sources.

For comprehensive information about deprecated features, see End-of-Life, Deprecated and Extended Support for Features.

You can add Gmail data sources to a project. After a data source is crawled, the personally identifiable information (PII) (entities) defined in the data classification plan associated with the project is discovered in the data source.

Before You Begin

  • Gmail must be configured as an app and the data must be backed up.

  • Gather the following information:

    • The country where the server acting as a proxy client is located


  1. From the navigation pane, go to Data Insights.

    The Data Insights page appears.

  2. Under Risk Analysis, click Sensitive data governance.

    The Sensitive data governance page appears.

  3. Under Quick start, click Gmail.

    The Quick start page appears.

  4. On the Project tab, under Select project, from the Project list, select a project.

  5. Click Next.

    The Add Gmail page appears.

  6. On the Select Gmail tab, select the check box next to the account you want to add.

    Tip: If you do not see the server that you want to analyze, in the upper-right corner of the page, click Synchronize or Refresh inventory.

  7. Click Next.

  8. In Display name, enter a name for the app.

  9. From the Country name list, select the country where the server is located.

  10. Click Browse.

    The Select a path dialog box appears.

  11. Click the check box next to each subclient that you want to add.

  12. Click Save.

  13. Click Finish.

    The app appears in the Data sources table.

What to Do Next

After you add the data source to the project, a data collection job runs to crawl and to analyze the data in the data source. If at a later time you want to update the data collected from the data source, you can run a data collection job from the data source details page. For more information, see Collecting Data from Data Sources.

Creating a Data Classification Plan