Navigating Data Modeling Complexities

This chapter delves into the challenges of data modeling within polyglot environments, focusing on the intersection of streaming and graph analytics. It highlights the flexibility of data schemas, comparing traditional approaches to graph models while discussing key methodologies like schema on read versus schema on write. With reflections on the evolution of data querying tools, it emphasizes the shift towards a unified approach that enhances user accessibility and adaptability in data practices.