The Cloud Dataprep service provides a web-interface for users to define the transformation logic and schedule job execution. Cloud Dataprep anonymously and securely stores this logic in the form of metadata within Google Cloud SQL. The Cloud Dataprep service itself does not transform nor store any of the customer’s physical data.
The Cloud Dataprep service translates user-generated metadata describing data transformation logic into a Cloud Dataflow job which reads, transforms and writes the customer data exclusively within the user’s Google Cloud project. During job execution processed by Dataflow, data does not leave the customer’s Google Cloud project.
The Cloud Dataprep service only exists within the Google Cloud ecosystem, and can only be launched from the Google Cloud console after authorization through Google Cloud Identity and Identity Access Management (IAM) roles.