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databricks guide #951
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databricks guide #951
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| 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. | ||
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| 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?
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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.
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| The normalization requirements depend on the type of DII you're processing, as follows: | ||
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| - **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.
Databricks integration guide.