AI 元数据治理与数据资产目录搭建方案生成器

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.