Refer to Amazon S3 target data validation for more details. For more details on these settings, refer to Amazon S3 target data validation.Ĭreate a task with the target Amazon S3 endpoint that you created or modified previously and make sure to select Enable validation.Īfter the task completes the full load, you can review the validation status for the tables via the table statistics on the AWS DMS task console. "arn:aws:glue: : :userDefinedFunction/aws_dms_s3_validation_*/*"Ĭreate (or modify) your target Amazon S3 endpoint to include the settings shown in the following screenshot. "arn:aws:glue: : :database/aws_dms_s3_validation_*", "Resource": "arn:aws:athena: : :workgroup/dms_validation_workgroup_for_task_*" ![]() ![]() Add IAM permissionsĪdd the following AWS Identity and Access Management (IAM) permissions to the Amazon S3 service access role used in your Amazon S3 target endpoint: Let’s walk through the steps you can take to enable data validation for an Amazon S3 target. Now, we’re excited to share that if you’re migrating to Parquet files on Amazon S3, AWS DMS supports data validation. Before AWS DMS 3.5.0, you had limited options to validate data between your target S3 bucket and your source database.
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