This podcast episode explores the concept of data silos and the challenges they pose in accessing unified and integrated data. It discusses the importance of a semantic layer, which acts as an interface between data sources and provides a unified view of the data. The podcast also highlights the benefits of a semantic layer in data management, including improved performance, centralized access control, and universal governance. It discusses the advantages and challenges of centralizing data, the role of a semantic layer in addressing data interpretation issues, and the potential of AI in data definition and semantic layer management. The podcast concludes with a discussion on the importance of centralizing data definitions for better data modeling and the role of semantic layers in helping AI agents generate better SQL queries for data analysis.
