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Scenario: You are planning to load some of your existing on-premises data into BigQuery on Google Cloud. You want to load the data either through streaming or batch, depending on your use case. Additionally, you need to mask sensitive data before loading it into BigQuery and want to do this programmatically while keeping costs low. Question: What is the most efficient approach to programmatically load and mask sensitive data before loading it into BigQuery?