Create a Confluence Unstructured Data Lake Object (Beta)

Create an Unstructured Data Lake Object (UDLO) in Data 360 to ingest your organization's content from Confluence Cloud into Data 360.

The data stream ingests data from your selected Confluence space into a UDLO and maps it to an Unstructured Data Map Object (UDMO). Data 360 uses the UDMO to create a search index and uses it to ground AI-generated responses.

The connector ingests the following content types from Confluence:

  • Pages: Confluence wiki pages with full body content
  • Blog Posts: Blog entries published in the space
  • Comments: Comments on pages and blog posts
  • Attachments: Files attached to Confluence content

This feature is a Beta Service. A customer may opt to try a Beta Service in its sole discretion. Any use of the Beta Service is subject to the applicable Beta Services Terms provided at Agreements and Terms. If you have questions or feedback about this Beta Service, contact the Data 360 Connector team at datacloud-connectors-beta@salesforce.com.
User Permissions Needed
To connect unstructured data:Data Cloud Architect

Before you begin:

  1. From the App Launcher, select Data Cloud.

  2. Click Data Lake Objects and then click New.

  3. Select the From External Files tile, and click Next.

  4. From the New Data Lake Object screen, select Confluence Unstructured and click Next.

  5. From the Select connection dropdown list, choose an available connection. Data 360 auto-populates the source based on the connection that you select.

  6. Enter the Space ID for the Confluence space you want to ingest. This is the Space ID you collected in Step 4 of Prepare Your Confluence Unstructured Connection. For example, ENG or MARKETING.

  7. Click Next.

  8. Add an Object Name and an Object API Name for the UDLO. See Data Lake Object Naming Standards.

  9. From the Data Space dropdown list, select a data space in which to create the new UDMO or a data space from which to select an existing UDMO.

  10. Map the UDLO to a UDMO.

    • To create a new UDMO, click New.
    • To use an existing UDMO, click Existing, and select a UDMO from the list.

  11. Optionally, leave the checkbox selected to create a search index configuration for the UDMO using system defaults that automatically selects text fields and a chunking strategy for each field. You can deselect the checkbox and create a search index configuration later if you choose not to do so now.

  12. Select the checkbox to enable content harmonization (Beta) for the UDMO. You can leave it deselected and enable content harmonization later if you choose not to do so now. To enable this Beta feature, you need to enable content harmonization and rendering on the feature manager.

    Note: When you enable content harmonization, you enable the collection of Content Viewer engagement data.

  13. Click Next, or if you created a search index configuration, review the details.

  14. Leave the remaining fields as-is to use the default settings, or rename and change the Search Configuration details and objects to make changes.

  15. Save your work.

The connector begins to ingest your content. The ingestion process takes several minutes and the length of time depends on the size and number of Confluence content items you're ingesting. See the Monitoring guide for checking the ingestion progress.

The connector supports incremental sync, which means subsequent ingestion runs only process content that has been created or modified since the last successful sync.

See Also