data-migration-validator

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Validate data integrity during and after migration with comprehensive verification checks

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# Data Migration Validator Skill Validates data integrity throughout the migration process with comprehensive verification checks and reconciliation reporting. ## Purpose Enable data validation for: - Row count validation - Checksum verification - Sample data comparison - Referential integrity checking - Business rule validation ## Capabilities ### 1. Row Count Validation - Compare source/target counts - Track by table/partition - Identify discrepancies - Generate count reports ### 2. Checksum Verification - Calculate table checksums - Compare hash values - Identify data drift - Verify data consistency ### 3. Sample Data Comparison - Random sample selection - Field-by-field comparison - Statistical sampling - Confidence scoring ### 4. Referential Integrity Checking - Verify foreign keys - Check orphaned records - Validate relationships - Report violations ### 5. Business Rule Validation - Apply custom rules - Check data constraints - Verify transformations - Validate calculations ### 6. Reconciliation Reporting - Generate audit reports - Track discrepancies - Document exceptions - Provide sign-off reports ## Tool Integrations | Tool | Purpose | Integration Method | |------|---------|-------------------| | Great Expectations | Data validation | Library | | dbt tests | Transform validation | CLI | | Custom SQL | Database checks | CLI | | DataGrip | Manual verification | GUI | | Apache Griffin | Data quality | API | ## Output Schema ```json { "validationId": "str...

Details

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

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