Part 8 | Boundaries, Collaboration, and Best Practices Between Apache DolphinScheduler and Flink & Spark

1. 1Identify the responsibilities of your scheduling system and computing engines
2. 2Configure Apache DolphinScheduler to focus on scheduling tasks
3. 3Use Flink and Spark for complex business logic and computation
4. 4Set up separate control systems for computation parameters and execution details
5. 5Monitor and adjust the boundaries between systems to ensure efficiency and scalability

Data engineers and architects can benefit from understanding the boundaries and collaboration best practices between scheduling systems and computing engines to design more efficient and scalable data pipelines

💡 Avoid letting your scheduling system take on too many responsibilities to prevent efficiency losses in the long run

🚀 Improve data pipeline efficiency by setting boundaries between scheduling systems and computing engines! #ApacheDolphinScheduler #Flink #Spark