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Public-Sector Health Research Data Platform
Long-running research workflows, saga orchestration, and governed data pipelines.
Overview
A data platform pattern for public-sector health research: long-running, multi-step workflows orchestrated with sagas, governed data pipelines, and reproducible processing.
Challenge
Orchestrate long-running, multi-stage research workflows that must be reliable, resumable, and fully auditable.
Approach & technology
.NETsaga orchestrationNServiceBusAzure Data FactorySQL Serverobservabilitygovernance
Outcome
Defined a resumable, auditable workflow architecture with clear data governance and processing boundaries.
