Beyond Single-Source Failures: Why Your Data Pipeline Needs a Fallback Layer

Relying on a single data API often leads to silent failures and incomplete datasets that manual checks can't always catch. By adopting a prioritized fallback pattern, developers can ensure system resilience and better data coverage without the complex overhead of reconciling conflicting sources.