#schema-management

#schema-management

Dynamic column transformations enable us to define rules within the schema, allowing Spark jobs to adapt without hardcoding changes, simplifying the data pipeline process.

One of the biggest challenges in blue-green deployments is managing data consistency when both environments share the same database. While this approach simplifies the process, it requires careful planning around schema changes and backward compatibility to ensure smooth transitions without data conflicts.