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As a data engineer, you're responsible for keeping the Delta Lake table 'customer_data' synchronized with 'staging_customer_updates', which continuously receives new and updated customer profiles. Both tables use 'customer_id' as a unique identifier. Your goal is to ensure 'customer_data' reflects the latest updates without considering deletions from the source. What is the most efficient method to achieve this synchronization in Databricks?