README.md

Cloud Patterns for Azure Data Factory

Data Factory pipelines map well to patterns that structure processing into stages, isolate failures, and handle retries.

Patterns covered

1. Pipes and Filters
2. Retry
3. Scheduler Agent Supervisor (pipeline orchestration)
4. Strangler Fig (incremental migration of data integration)

Start here

• Pipes and filters with Data Factory
• Resilient pipelines (retry, idempotency)

References

• Cloud design patterns catalog: https://learn.microsoft.com/en-us/azure/architecture/patterns/