This podcast explores the concept of the “Shadow Graph” and how it helps uncover hidden relationships and implicit structures within complex datasets. It discusses advanced graph modeling techniques, abstraction layers, and how shadow representations can improve understanding and design of graph systems. Perfect for data modelers, engineers, and analysts working with knowledge graphs and connected data architectures.