Scenario: You work for an airline and need to store weather data in a BigQuery table for input to a machine learning model. The model utilizes only the most recent 30 days of weather data to function effectively. To minimize costs and avoid storing unnecessary data, what steps should you take? Question: What steps should you take to store weather data in a BigQuery table efficiently for the machine learning model that utilizes only the last 30 days of data?