Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

A. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.

B. Do not apply any data transformation or feature extraction or feature engineering steps.

C. Leverage only deep learning algorithms.

D. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.