data-engineer-pro video for in the process of constructing a data pipeline on Google Cloud to support a logistic regression model, you encounter the necessity
In the process of constructing a data pipeline on Google Cloud to support a logistic regression model, you encounter the necessity to preprocess the data using a specific method while also monitoring and accommodating null values, which must retain their real-valued nature and cannot be eliminated. How should you approach this task?