Key Takeaway
Data pipeline ADRs should explicitly document data quality gate locations and failure handling, because silent data quality issues are the most common source of model degradation.
When to Use This Template
Use this ADR when building new data pipelines for ML training or inference, adding data quality validation to existing pipelines, or migrating between orchestration tools. Data pipeline architecture decisions affect model quality, training reproducibility, and operational reliability. This template forces the team to document data dependencies, quality gates, and failure handling before implementation.
ADR Template
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