Evolving Data Practices

Data projects face unique challenges as both producers and consumers can evolve at different rates, often leading to system failures. By introducing versioning for data schemas, the framework aims to prevent disruptions and maintain stability. This approach allows different parts of the system to evolve independently, ensuring that data integrity is preserved while enabling continuous progress.