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You are a data engineer working on a project that requires managing a large dataset stored in Delta Lake within Microsoft Azure. The project has strict requirements for data backup processes, including minimizing storage costs and ensuring quick recovery times. The dataset is frequently updated, and you need to implement a backup strategy that efficiently captures changes without duplicating the entire dataset each time. Considering these constraints, which of the following strategies should you use to perform data backups in Delta Lake? Choose the best option and explain why it is the most suitable for this scenario.
A
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.
B
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.
C
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.
D
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.