Navigating Data Modeling for Automation: Challenges and Considerations

Exploring the complexities and considerations in creating data models for automation, from the shortcomings of existing models like Yang to the trend of engineers developing their own models. Discussions on aligning data models with implementations, challenges in creating unified models for different systems, variations in BGP implementations, de facto standard models, and managing evolving technologies like GRPC.