Operationalizing Data Quality in Cloud ETL Workflows: Automated Validation and Anomaly Detection
DZone
JUNE 10, 2025
Data quality has shifted from a checkpoint to being an operational requirement. As more and more data warehouses become cloud-native, and the complexity of running real-time pipelines increases, data engineers face a non-trivial problem: how to operationalize quality checks without slowing down the velocity of the ETL workflows. “Traditional post-load checks or static rules” do not suffice.
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