Enhance AWS Glue Pipeline with Autonomous Data Validation

An illustration of binary codes traveling in speed

Data operations and engineering teams spend 30-40% of their time firefighting data issues raised by business stakeholders. A large percentage of these data errors can be attributed to the errors present in the source system or errors that occurred or could have been detected in the data pipeline. Current data validation approaches for the data…

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