AWS Glue Data Quality now supports data quality monitoring across Amazon S3 Tables and AWS Lake Formation managed Iceberg tables. This enhancement helps organizations make confident business decisions by providing insights into data integrity and consistency across multiple data formats.
Before this launch, customers were unable to perform data quality checks on Amazon S3 tables and AWS Lake Formation managed Iceberg tables. Now, customers can use AWS Glue Data Catalog user interface (for managed Iceberg tables) or use AWS Glue Quality APIs (for Amazon S3 and managed Iceberg tables) to get data quality rule recommendations, evaluate rules, and view data quality scores for these new table types. These scores integrate with Amazon SageMaker Catalog, helping data consumers quickly identify, assess, and leverage high-quality data assets for ETL pipelines, machine learning models, and generative AI applications.
To learn more, see our page on AWS Glue Data Quality, read the blog, or refer to the documentation.
This capability is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Stockholm), Europe (Frankfurt), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo).
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Source: Amazon Web Services
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