DAG Organization Strategies
Best Practices for Organizing DAGs
Looking for established patterns and best practices for structuring and organizing Directed Acyclic Graphs (DAGs) in large-scale data pipelines. Seeking advice on modularity, versioning, and dependency management.
Tips for Handling Complex DAG Dependencies
My current DAGs are becoming unmanageable due to intricate interdependencies. Any strategies or tools that help visualize, debug, and simplify complex dependency chains?
Shared Libraries vs. Monolithic DAGs
Debating the pros and cons of using shared Python libraries for common tasks versus a single, large DAG file. What are your experiences with each approach?
Tagging and Grouping DAGs for Better Management
How do you effectively tag, group, or categorize your DAGs for easier navigation and searching? Looking for creative and practical solutions.
Automating DAG Generation and Organization
Has anyone successfully automated the generation or organization of DAG files? Perhaps using templates or meta-programming techniques?