Navigating Data Complexity

This chapter explores the increasing complexity of database specialization and its implications for data quality amid the rise of generative AI. It discusses the challenges organizations face with siloed data systems, the financial repercussions of inefficiencies, and the integration of microservices. The conversation culminates in the introduction of a 'super graph' concept to improve data accessibility, oversight, and quality across diverse data sources.