The Future of Data Engineering

This chapter explores the evolution of data engineering, highlighting a potential return to classical methods in response to the rising costs of large language models. It also discusses the impact of industry layoffs, the skill development necessary for data engineers, and the balance between data preprocessing quality and model limitations.