Category: AWS Glue

Amazon S3 now enables improved Apache Iceberg query performance through two new compaction strategies—sort and z-order—available for both S3 Tables and general purpose S3 buckets, helping organize data more efficiently by clustering similar values together and reducing file scanning during queries.

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.

Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.

Advertisers can now leverage first-party data with Amazon Marketing Cloud on AWS Clean Rooms, enabling differentiated insights, audience discovery, and effective campaign planning and measurement while maintaining data privacy.

With AWS Glue’s new visual interface, data teams can collaboratively build ETL pipelines, bridging the gap between analysts and engineers through an intuitive, shareable canvas.

With all the generative AI announcements at AWS re:invent 2023, I’ve committed to dive deep into this technology and learn as much as I can. If you are too, I’m happy that among other resources available, the AWS community also has a space that I can access for generative AI tools and guides. Last week’s […]

Today we’re previewing a new chat experience for AWS Glue that will let you use natural language to author and troubleshoot data integration jobs. Amazon Q data integration in AWS Glue will reduce the time and effort you need to learn, build, and run data integration jobs using AWS Glue data integration engines. You can […]

We are launching a preview of a new AWS Glue Data Quality feature that will help to improve your data quality by using machine learning to detect statistical anomalies and unusual patterns. You get deep insights into data quality issues, data quality scores, and recommendations for rules that you can use to continuously monitor for […]