Building a Data Quality Pipeline with AWS Glue and S3 Tables for Generative AI and Analytics Workloads.

Organizations often struggle to extract value from their data lakes due to data quality challenges. AWS Glue Data Quality and Amazon S3 Tables help improve data quality by computing statistics, recommending rules, detecting anomalies, and storing tabular data on S3 for scalable and performant analytics. By combining these services, teams can automatically validate data quality at scale, monitor quality metrics, and set up automated remediation workflows, reducing manual effort and enabling teams to focus on generating valuable insights.