Amazon SageMaker demo: Data quality monitoring | Amazon Web Services
Discover how Amazon SageMaker Unified Studio surfaces data quality metrics from multiple tools including AWS Glue Data Quality in one unified view, enabling data consumers to gain trust in datasets before subscribing. In this demo, learn how to view overall quality scores with individual rule results, examine historical data quality trends to detect drift over time, and understand which specific data issues like missing values, duplicates, or stale data need attention. See how data engineers can author data quality rules directly in Unified Studio using the Data Quality Definition Language with searchable rule types and syntax examples, then schedule rules to run automatically without switching to the AWS Console. Discover how quality scores flow immediately to the catalog listing so all consumers can see them without republishing, and explore how to track rule-level details and historical trends even before subscribing to a dataset. Learn more about Amazon SageMaker: https://go.aws/4h7wV2i Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance. #AWS #AmazonWebServices #CloudComputing