Designing pipelines that transform large volumes of unstructured data into structured, searchable datasets can be challenging. These pipelines need to be flexible, scalable, and maintainable, without introducing unnecessary complexity.
In this talk, we’ll explore architecture patterns and trade-offs involved in building transformation pipelines. When should you use a workflow orchestration tool? When does it make more sense to stick with classical microservices and message queues?
Drawing from experiences in the field, we’ll compare several approaches in terms of performance, scalability, and maintainability.
This session will help you rethink your pipeline design!