Why Data Quality Monitoring In The Cloud Has To Become Autonomous

Srinivas Chippagiri explains that traditional rule-based data quality monitoring in cloud environments like Snowflake and Amazon S3 struggles to scale and misses unforeseen issues. He advocates for autonomous monitoring using statistical profiling and machine learning to detect anomalies and schema drift more effectively across distributed data platforms.