How do you ensure alignment and consistency between your data models and your data architecture and strategy?
Ensuring alignment and consistency between data models and data architecture is vital for a successful software development project. It involves cross-referencing and validating data models against the overall data architecture to guarantee that they complement each other seamlessly. This process helps in preventing conflicts and inconsistencies in data management, ensuring a solid foundation for the system.