Data modeling and ETL (Extract, Transform, Load) are distinct yet interconnected processes in data management. Data modeling entails creating structured data representations, focusing on relationships and constraints. On the other hand, ETL involves extracting data, transforming it into a specific format, and loading it into a target database or data warehouse to ensure quality and consistency for analysis. Both play vital roles in effective data management, each addressing different aspects of the data lifecycle.