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            Map Data for a Clean Room Use Case

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            Map Data for a Clean Room Use Case

            Create a template to save your data mappings for a specific use case. You can create a template before a clean room collaboration is active or map your data while creating a collaboration or accepting an invitation to collaborate.

            Required Editions

            Available in: All Editions supported by Data 360. See Data 360 edition availability.
            User Permissions Needed
            To map data for a use case:

            Permission set:

            • Data Cloud Architect
            Note
            Note If the user segments that you want to associate with the clean room aren’t created, see Prepare Your Data for a Clean Room.

            If you’re a provider using AWS clean rooms, see Preparing data tables for queries in AWS Clean Rooms. If you’re a consumer mapping your data to collaborate with an AWS-based provider, see Data types for more information on permitted data types.

            1. In Data Cloud, on the Clean Rooms tab, under Mapped Templates, click New.
            2. Select your role for the use case that you’re mapping data for.
            3. Select the Collaboration Query.
            4. Select a data space and the data model object.
            5. Click Next.
            6. Click the edit icon and select the attribute to map to the data model object field.
              1. Map the Match Key Field to the Match Key DMO created during data preparation.
            7. Select the path for the attribute.
              The path length determines the time needed to process the query results. To save time, use the shortest path. Only select a longer path if the query must run through other DMOs or tables.
            8. Click Save.
            9. To map to a subset of an attribute, apply a filter. Applying a filter is recommended for large datasets.
              1. Click the mapping field’s filter icon.
              2. Select the operator, and enter a value for the filter.
              3. Click Save.
            10. After mapping all the fields, click Next.
            11. Name the template and add an optional description.
            12. Click Save.
             
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