Category: AWS Glue

During my time at AWS, I have always looked for opportunities to work with students. I have delivered over 50 talks at universities across the region, and watching the potential in the room is always a strong motivator. It reminds me of why I do this work, and that the students I meet today may […]

AWS Glue 6.0 is built on a fully modernized runtime, Apache Spark 4.1, Python 3.13, and Scala 2.13, delivering 30% lower pricing than previous AWS Glue versions.

Access FSx for NetApp ONTAP file data through S3 to enable AI/ML workloads and analytics—letting you use enterprise file data with Bedrock, SageMaker, and analytics services while it remains in your file system.

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.