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You are part of a food product company, and your historical sales data is stored in BigQuery. Your task is to utilize Vertex AI's custom training service to train multiple TensorFlow models, leveraging the data from BigQuery to predict future sales. In preparation for model experimentation, you plan to implement a data preprocessing algorithm that involves min-max scaling and bucketing for a significant number of features. Your aim is to keep preprocessing time, costs, and development efforts to a minimum. How should you configure this workflow?