data-catalog-enricher

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Enriches data catalog entries with automated metadata

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Data Catalog Enricher ## Overview Enriches data catalog entries with automated metadata. This skill enhances data discoverability and governance through intelligent metadata augmentation. ## Capabilities - Automated tag suggestion - Business glossary term matching - Owner/steward recommendation - Usage pattern analysis - Data classification (sensitivity, PII) - Quality score integration - Lineage enrichment - Search optimization ## Input Schema ```json { "catalogEntry": "object", "dataProfile": "object", "existingGlossary": "object", "organizationContext": "object" } ``` ## Output Schema ```json { "enrichedEntry": "object", "suggestedTags": ["string"], "glossaryMatches": ["object"], "classificationResults": "object", "ownerSuggestions": ["string"] } ``` ## Target Processes - Data Catalog - Data Lineage Mapping - Data Quality Framework ## Usage Guidelines 1. Provide existing catalog entry for enrichment 2. Include data profile for classification analysis 3. Supply business glossary for term matching 4. Add organization context for owner recommendations ## Best Practices - Regularly update glossary matches as glossary evolves - Validate PII classifications with data stewards - Integrate quality scores from quality framework - Maintain consistent tagging taxonomy - Review and approve automated classifications

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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