Perform a full backup of the dataset, including all historical changes, every time a backup is needed. This ensures that every piece of data is captured, but may increase storage costs and backup time.

Use Delta transactions to perform an incremental backup of the dataset, capturing only the changes made since the last backup. This approach reduces storage requirements and speeds up the backup process by focusing on recent changes.

Perform a partial backup of the dataset, excluding certain partitions or columns that are deemed less critical. This may save storage space but risks missing important data changes.

Skip the backup of historical changes and only save the current state of the dataset. This approach saves storage space but does not allow for recovery of past states or changes.