What is the process for removing personally identifiable information from snapshots in BigQuery that complies with GDPR regulations?

edit

The process for removing personally identifiable information from snapshots in BigQuery that complies with GDPR regulations involves the following steps:

1. Identify the personally identifiable information (PII) that needs to be removed from the BigQuery snapshot.

2. Create a copy of the snapshot that will be used for anonymization purposes. This copy should be stored separately from the original snapshot.

3. Use Google's Data Loss Prevention (DLP) tool to scan the copied snapshot for PII.

4. Anonymize the PII by either removing it or masking it so that it is no longer recognizable as an individual's information.

5. Verify that the anonymization process was successful by running the DLP tool on the anonymized snapshot and verifying that it no longer contains PII.

6. Delete the original snapshot that contained the PII.

7. Monitor the anonymized snapshot to ensure that it does not contain any new PII.

8. Finally, document the process followed to remove the PII and keep it for audit purposes.