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You are an employee at an advertising company who has developed a Spark ML model to predict click-through rates for ads. With your company migrating to Google Cloud and your data being moved to BigQuery, you need to migrate your existing training pipelines that periodically retrain your Spark ML models. What is the most effective approach for this migration?
You are an employee at an advertising company who has developed a Spark ML model to predict click-through rates for ads. With your company migrating to Google Cloud and your data being moved to BigQuery, you need to migrate your existing training pipelines that periodically retrain your Spark ML models. What is the most effective approach for this migration?
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