# AWS Entity Resolution in AWS Clean Rooms
<a name="working-with-entity-resolution"></a>

With AWS Entity Resolution in AWS Clean Rooms, you can translate data from a source to a target, populate an ID mapping table with the translated data, and query the data.

First, you create a collaboration in AWS Clean Rooms and add the AWS accounts you want to invite, or join a collaboration you're invited to by creating a membership. Next, you perform ID mapping on two data tables. You do this by either associating an existing ID namespace source or creating a new one in AWS Entity Resolution. The other member of the collaboration associates an existing ID namespace target or creates a new ID namespace target. Then, you create and populate an ID mapping table from the two associated ID namespaces. Finally, the member who can query runs a query across the two data tables by joining on the ID mapping table.

The following diagram summarizes how to work with AWS Entity Resolution in AWS Clean Rooms.

![\[Diagram explaining how to work with AWS Entity Resolution data in AWS Clean Rooms\]](http://docs.aws.amazon.com/clean-rooms/latest/userguide/images/how-it-works-identity-data.png)


**Note**  
The currently supported transcoding service provider is LiveRamp, which is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon).

**Topics**
+ [ID namespaces in AWS Clean Rooms](working-with-id-namespaces.md)
+ [ID mapping tables in AWS Clean Rooms](working-with-id-mapping-tables.md)