Working with SQL as a Black Box and the Potential of Language Models

This chapter discusses the challenges of understanding and disambiguating SQL output, the limitations of black box data input, and the potential benefits of using language models in data management. It also explores breakthroughs in data modeling, the importance of data quality and clean data mapping, and concerns about the use of large language models in solving data problems.