Data Transformation Validation
Accurate, Consistent and Error-Free Data Processing
Validate Every Transformation with Confidence
Ensure that every data transformation step produces accurate and expected results. Identify discrepancies, maintain data lineage, and prevent data loss or corruption across ETL/ELT workflows
Ensures Accuracy in Processing
Verifies transformations, joins, and aggregations against expected outputs to prevent logic errors
Minimizes Data Loss Risks
Detects discrepancies between source and transformed data, ensuring business-critical fields remain intact
Reduces Debugging Time
Automated rules highlight transformation failures early, reducing troubleshooting effort
Scales with Complexity
Handles diverse transformations across multiple formats, supporting ETL, ELT, and SQL-based workflows
Automated Data Mapping Validation
Confirms that source data transformations align with business rules and expectations
Real-Time ETL Process Monitoring
Detects anomalies, errors, and unexpected transformations before data moves downstream
Row-Level & Aggregate Comparisons
Validates row-by-row transformation accuracy and ensures aggregate computations are correct
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Key Features
Performance & Scalability Testing
Ensures transformation jobs run efficiently under high-load conditions
Multi-Layer Data Validation
Checks data at every stage from ingestion to final transformation layers
Supports SQL & No-Code Rules
Provides no-code transformation validation and advanced SQL-based checks