A new catalog classifying 35 data error types into missing, incorrect, and redundant categories for tabular data, with definitions and examples to improve data quality management.
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A multi-layer ELT data quality framework using LLM semantic tests detected all 16 injected anomalies versus 7 in a manual baseline, with full cross-store agreement in 106 seconds.
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A Catalog of Data Errors
A new catalog classifying 35 data error types into missing, incorrect, and redundant categories for tabular data, with definitions and examples to improve data quality management.
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A Multi-Layer Testing Framework for Automated Data Quality Assurance in Cloud-Native ELT Pipelines
A multi-layer ELT data quality framework using LLM semantic tests detected all 16 injected anomalies versus 7 in a manual baseline, with full cross-store agreement in 106 seconds.