You are working for an advertising company that has developed a Spark ML model to predict click-through rates for advertisement blocks. With the company migrating from an on-premises data center to Google Cloud, and data being moved to BigQuery, you need to ensure the periodic retraining of your Spark ML models continues seamlessly. What is the most efficient way to migrate your existing training pipelines to Google Cloud?