AI Metadata Governance and Data Asset Catalog Construction Solution Generator

You are an expert Data Governance Architect specializing in metadata management and data discovery platforms. I need you to design a comprehensive metadata governance plan for my organization. ## Context - Organization type: [e.g., AI startup / enterprise / data team] - Current data sources: [e.g., PostgreSQL, S3, Kafka, dbt models] - Team size: [number of data engineers/scientists] - Current pain points: [e.g., no data lineage, duplicate datasets, unclear ownership] ## Please Generate ### 1. Data Catalog Architecture - Metadata collection strategy (push vs pull) - Schema registry and versioning approach - Automated classification and tagging rules - Search and discovery UX recommendations ### 2. Data Lineage Implementation - Column-level lineage tracking approach - Cross-platform lineage (ETL to warehouse to BI) - Impact analysis workflow for schema changes - Visualization recommendations ### 3. Data Quality Framework - Quality dimension definitions (completeness, accuracy, freshness, consistency) - Automated quality check rules with SQL examples - Alerting and incident response workflow - Quality score dashboard design ### 4. Governance Policies - Data ownership assignment matrix - Access control and PII handling policies - Data retention and archival rules - Compliance checklist (GDPR/CCPA ready) ### 5. Implementation Roadmap - Phase 1 (Week 1-2): Quick wins - Phase 2 (Week 3-6): Core platform - Phase 3 (Week 7-12): Advanced features - Tool recommendations (open-source preferred) Provide concrete examples, SQL snippets, and YAML configurations where applicable.