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Databricks integration guide.

@genwhittTTD genwhittTTD marked this pull request as draft November 18, 2025 22:55
@genwhittTTD genwhittTTD marked this pull request as ready for review November 26, 2025 20:02

This solution enables you to securely share consumer identifier data without exposing sensitive <Link href="../ref-info/glossary-uid#gl-dii">directly identifying information (DII)</Link>, by processing your data in an instance of the [Databricks Clean Rooms](https://docs.databricks.com/aws/en/clean-rooms/) feature. This feature provides a secure and privacy-protecting environment for working on sensitive data.

When you've set up the Databricks Clean Rooms environment, you establish a trust relationship with the UID2 Operator and allow the Operator to convert your data, which you share in the clean room, to raw UID2s.
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this Operator isn't the operator service so it's potentially confusing and i think it's better to use alternative term like UID2 organisation here?

cc @mcollins-ttd

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Thanks @sunnywu . I said "UID2 service" and updated to this:

...you establish a trust relationship with the UID2 service and allow the service to convert your data, which you share in the clean room, to raw UID2s.


The normalization requirements depend on the type of DII you're processing, as follows:

- **Email address**: The notebook normalizes the data using the UID2 [Email Address Normalization](../getting-started/gs-normalization-encoding#email-address-normalization) rules.
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The notebook automatically normalizes

make it clearer?

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Done, thx.

@genwhittTTD genwhittTTD requested a review from sunnywu December 2, 2025 14:52
@genwhittTTD genwhittTTD merged commit 96e3446 into main Dec 2, 2025
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4 participants