Data Quality & Governance Pipeline
About This Architecture
Data quality and governance pipeline starting with data ingestion, profiling (statistics and schema), validation rules (Great Expectations), quality scoring (0-100), and a pass/fail gate. On pass: data is registered in the catalog with lineage tracking and flows to downstream consumers. On fail: alerts fire via Slack/PagerDuty, data is quarantined, and flagged for manual review. Quality metrics dashboard tracks overall health.
Architecture prompt
Data quality and governance pipeline starting with data ingestion, profiling (statistics and schema), validation rules (Great Expectations), quality scoring (0-100), and a pass/fail gate. On pass: data is registered in the catalog with lineage tracking and flows to downstream consumers. On fail: alerts fire via Slack/PagerDuty, data is quarantined, and flagged for manual review. Quality metrics dashboard tracks overall health.
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