In Data 360 enablement, output data structure varies by attribute type. Direct attributes occupy individual columns, while related attributes are aggregated into JSON. This article explains these behaviors using Amazon S3 and Marketing Cloud examples.
In Data 360 enablement, configured items are reflected in the output by setting [Add Attributes] during the enablement process. The data structure in the output file is determined by whether the attributes are added as "Direct" or "Related" attributes:
Output Format
Direct Attributes: Output as an independent column or field for each item.
Related Attributes: Multiple attribute values are aggregated into a single column or field per DMO (e.g., Account DMO) and stored as structured data, such as JSON format.
Output Example
The following is an example of the output when selecting "Individual Id", "FirstName", and "EmailAddress" (Direct Attributes) and "Account Id" and "Account Name" from the Account DMO (Related Attributes). Amazon S3 and Marketing Cloud are used as examples.
Amazon S3 (CSV Format): Direct attributes occupy separate columns, while related attributes are consolidated into a single column in JSON format.Individual Id,FirstName,Account,EmailAddress,Version,UPDATE__ACTION__ 003xxxxxxxxxxxxxxx,John,"[{"Account Id":"001xxxxxxxxxxxxxxx","Account Name":"Test Inc."}]",user@example.com,1,A
Amazon S3 (JSON Format): The same data as the CSV is output in a nested structure as follows: {"Individual Id":"003xxxxxxxxxxxxxxx","FirstName":"John",
"Account":[{"AccountId":"001xxxxxxxxxxxxxxx","AccountName":"TestInc."}],"EmailAddress":"user@example.com","Version":1,"UPDATE__ACTION__":"A"}
Marketing Cloud (Data Extension): Attributes are reflected as field values in the Data Extension as follows:
| SubscriberKey | Individual Id | FirstName | EmailAddress | Account |
| 003xxxxxxxxxxxxxxx | 003xxxxxxxxxxxxxxx | John | user@example.com | [{"Account Id":"001xxxxxxxxxxxxxxx","Account Name":"Test Inc."}] |
To use related attribute data in Marketing Cloud Engagement, please parse the JSON data using AMPscript or SSJS.
Review the Data in Marketing Cloud Engagement
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