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With the accelerating adoption of Azure Data Lake as the data lake of choice, the need for validating data at the ingestion layer in real-time has become critical for efficient data operations and to deliver accurate, complete and timely information. Existing ingestion validation approaches rely on a rule-based monitoring approach that is not scala