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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

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