AWS
Amazon Web Services releases and Terraform AWS provider.
- AWS What's New aiawsengineerhealthcare ·
AWS HealthOmics Adds Support for Nextflow 26.04
AWS HealthOmics now supports Nextflow version 26.04, introducing features like record types and a strict syntax parser. These enhancements improve workflow readability, reduce errors, and potentially lower compute costs by enabling earlier detection of pipeline issues. The update benefits healthcare and life sciences customers using AWS HealthOmics for bioinformatics.
feature - AWS What's New awsgaengineerhealthcare ·
AWS HealthOmics adds Nextflow version pinning for run-time control
AWS HealthOmics now supports specifying a Nextflow engine version at run time via the StartRun API. This feature allows customers to pin workflow runs to specific Nextflow versions, enabling controlled migration and testing across different engine versions without modifying source code. This is particularly beneficial for healthcare and life sciences organizations in regulated environments requiring pipeline validation.
feature - AWS What's New dataawsgaengineerhealthcaremedia ·
Amazon EMR Adds General Availability Support for Apache Spark 4.0.2
Amazon EMR now offers general availability support for Apache Spark 4.0.2, enhancing data pipeline development. This update introduces ANSI SQL, VARIANT data types for flexible data handling, row/column-level access control via AWS Lake Formation, and improved streaming for real-time applications. These features benefit data engineers, analysts, and developers working with complex data and compliance requirements on EMR.
patch - AWS What's New dataawsengineerhealthcarefinance ·
AWS Clean Rooms: Mutable Payment Configurations for Collaborations
AWS Clean Rooms now allows mutable fine-grained payment configurations, giving customers more control over cost responsibilities with partners after a collaboration is established. This new feature enables specifying authorized payers for specific cost types like SQL queries, PySpark jobs, and ML workloads, adding flexibility for joint data analysis use cases. The update is relevant for organizations using AWS Clean Rooms for collaborative data analysis, particularly those with complex financial arrangements like pharmaceutical companies partnering with healthcare providers.
feature - AWS What's New dataawsgaengineerhealthcare ·
Amazon Redshift adds ALTER TABLE and writes for Iceberg tables
Amazon Redshift now supports writing directly to Apache Iceberg tables via AWS Glue Data Catalog and can modify Iceberg table schemas using ALTER TABLE DDL statements. This streamlines data pipelines by enabling in-place schema modifications, reducing complexity and latency previously associated with updating Iceberg table structures. The new capabilities benefit engineers and architects working with federated data lakes, particularly those using Iceberg tables with AWS Lake Formation.
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