Ensure 99.9% Accuracy
Automated quality checks and source-to-target reconciliation. AI-powered anomaly detection ensures migration accuracy and data integrity.
See Validation in Action
Our DQ Agent provides comprehensive validation reports that give you complete visibility into your data migration quality. Here's a real example from a production migration.
Row-Level Reconciliation
The report validates complete row counts in both source and target, with detailed analysis of matching vs. non-matching records.
- Matching rows validated across source and target
- Balanced distribution with orphaned record detection
- High row match rate with clear identification of discrepancies
Schema Mapping & Analysis
Intelligent column mapping between source (Synapse) and target (Fabric) with automated match detection and type validation.
- All columns mapped with complete coverage across both schemas
- High data type match rate with automatic type conversion detection
- Visual indicators for exact matches, fuzzy matches, and unmapped columns
Data Accuracy Validation
Comprehensive accuracy metrics that go beyond simple row counts to validate actual data integrity and consistency.
- High data accuracy across all validated fields and records
- Statistical validation of data distributions and value ranges
- Automated anomaly detection for data quality issues
Root Cause Analysis
When discrepancies are found, the DQ Agent automatically identifies potential root causes and provides actionable recommendations.
- Potential root causes identified and documented automatically
- AI-powered analysis traces issues back to source transformations
- Actionable recommendations for fixing validation failures
What Makes This Validation Powerful
Validation That Actually Works
Manual validation is slow, error-prone, and incomplete. Sample-based checks miss edge cases. Our AI agents validate every single row across every table, with intelligent anomaly detection that catches issues traditional validation misses.
Comprehensive Validation Suite
Everything you need to ensure perfect data migration
Row & Column Matching
Automated row count reconciliation and column-level comparison between source and target. Track matching rows, data type alignment, and identify discrepancies with precision.
Schema Mapping & Analysis
Intelligent column mapping with exact matches, fuzzy matches, and unmapped column detection. Validate data types, constraints, and schema structure across systems.
Data Accuracy Metrics
Comprehensive accuracy scoring with row match percentages, column match rates, and overall data accuracy metrics. Visual dashboards show validation progress in real-time.
AI-Powered Anomaly Detection
Machine learning models identify unusual patterns, outliers, and potential data corruption that traditional validation might miss.
Continuous Validation
Ongoing validation during and after migration. Real-time monitoring ensures data quality throughout the transition.
Custom Business Rules
Define and enforce custom validation rules specific to your business logic. Automated validation of complex requirements.
Root Cause Analysis
When validation failures occur, AI agents automatically trace issues back to their source and recommend fixes.
Performance Validation
Compare query performance between source and target. Ensure migrated workloads meet or exceed baseline performance.
What We Validate
Multi-layered validation ensures complete data integrity
Row Match Analysis
Compare source and target row counts, track matching vs. unmatched rows
Column Match Detection
Identify exact matches, fuzzy matches, and unmapped columns automatically
Data Type Validation
Verify data type consistency and precision across source and target schemas
Root Cause Analysis
Automatically identify and report potential discrepancies and their causes
Balance Verification
Ensure balanced data distribution and identify records only in source or target
Column Mapping Report
Detailed column-level mapping with match types and status indicators
Proven Results
Real outcomes from AI-powered validation
Migration Accuracy
Ensure data integrity with comprehensive validation
Faster Validation
Automated checks reduce validation time
Issue Detection
Catch problems before they reach production
Coverage
Every table, every column validated automatically
Actionable Insights
Validation results you can act on immediately
Color-Coded Metrics
Instantly understand validation status with color-coded metrics for row match, column match, and data accuracy.
Interactive Column Analysis
Drill down into schema comparison between Synapse, Fabric, and other platforms with detailed column mappings.
Match Type Indicators
Visual indicators show exact matches, fuzzy matches, and unmapped columns with status icons.
Exportable Reports
Run and refresh validation reports on-demand with export capabilities for compliance and documentation.
Ready for Perfect Data Migration?
See how AI-powered validation can ensure 99.9% migration accuracy. Request a demo to learn more.