8/13/2024, 12:00:00 AM ~ 8/14/2024, 12:00:00 AM (UTC)

Recent Announcements

AWS HealthOmics now supports DSL and Nextflow version detection

We are excited to announce that AWS HealthOmics now supports the ability to specify Domain Specific Language (DSL) and Nextflow version when creating private workflows. AWS HealthOmics is a fully managed service that helps healthcare and life science organizations build at-scale to store, query, and analyze genomic, transcriptomic, and other omics data to improve health and drive scientific discoveries.\n With this release, customers can now define the DSL version used and Nextflow version preference when executing their private workflows. HealthOmics will automatically identify and execute the appropriate Nextflow version based on the DSL specified in the workflow definition and nextflowVersion specified in the Nextflow configuration manifest file. This feature allows customers to ensure reproducibility and compatibility across their analyses, enabling them to validate experiments more easily and collaborate more effectively with internal and external teams. You can specify DSL and Nextflow version in your private workflows in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To get started with Nextflow versioning in private workflows, see the AWS HealthOmics documentation.

Amazon DataZone launches domain units and authorization policies

Today, Amazon DataZone announced a set of new data governance capabilities called domain units and authorization policies that enable customers to create business unit/team level organization and manage policies per their business needs. With the addition of domain units, users can organize, create, search, and find data assets and projects associated with business units or teams. With authorization policies, those domain unit users can set access policies for creating projects, glossaries, and using compute resources within Amazon DataZone.\n As an Amazon DataZone administrator, you can now create domain units (e.g Sales, Marketing) under the top-level domain and assign domain unit owners to further manage their data team’s structure. Amazon DataZone users can login to the portal to browse and search the catalog by domain units, and subscribe to data produced by specific business units. Additionally, authorization policies can be configured for a domain unit permitting actions such as who can create projects, metadata forms and glossaries within their domain units. Authorized portal users can then login to the Amazon DataZone portal, and create entities such as projects and create metadata forms using the authorized projects.

Announcing Amazon S3 Express One Zone storage class support on Amazon EMR

Amazon EMR (Elastic MapReduce) is the industry-leading cloud big data solution for data processing, interactive analytics, and machine learning, designed to run open-source frameworks such as Apache Spark, Hive and Trino efficiently on AWS. We are excited to announce that  the Amazon S3 Express One Zone storage class is now supported on all EMR deployment models - EMR on EC2, EMR on EKS, and EMR Serverless, for Spark, Trino, Flink, Hive and HBase workloads.\n Amazon S3 Express One Zone is a high-performance, single-Availability Zone (AZ) storage class purpose-built to deliver consistent, single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications. With this launch, you can now accelerate data movement between Amazon EMR and Amazon S3, enabling faster job execution times and improved performance for your workloads. This is particularly beneficial for workloads with strict service-level agreements (SLAs) or those requiring low-latency data access. Amazon S3 Express One Zone is supported for Spark, Trino, Flink, Hive and HBase workloads on EMR on EC2, for Spark and Flink workloads on EMR on EKS and for Spark and Hive workloads on EMR Serverless. Amazon S3 Express One Zone support on EMR is available with Amazon EMR release 7.2.0 and later in the AWS Regions where S3 Express One Zone is available. To get started using Amazon S3 Express One Zone on Amazon EMR, visit the user guide for Amazon EMR on EC2, EMR on EKS, and EMR Serverless.

Amazon Neptune Analytics now supports openCypher queries over RDF Graphs

Today, we are excited to announce that Amazon Neptune Analytics now supports openCypher queries over RDF graphs! This enhancement aims to bridge the gap between RDF graphs and labeled property graphs (LPGs), allowing organizations to harness the best of both worlds without being constrained by the limitations of traditional technology choices.\n When building graph-based applications, developers often face a significant decision: choosing between RDF graphs, which use SPARQL, and LPGs, which utilize Gremlin and openCypher. This choice can be challenging for newcomers and a source of frustration for experienced users who wonder why they can’t leverage openCypher with RDF. Additionally, the need to ingest and query a combination of LPG and RDF data together has been a long-standing challenge. With our new OneGraph initiative, we aim to provide graph interoperability, enabling the use of graph query languages regardless of the underlying graph model. Organizations can run openCypher queries over RDF graphs and apply powerful graph algorithms across a unified dataset, combining the strengths of both RDF and LPG models. This unified approach enhances the overall analytical capabilities and flexibility of graph-based solutions. By introducing openCypher support for RDF graphs, Amazon Neptune Analytics is taking a significant step towards fostering a more unified approach.

To learn more about Neptune Analytics and support for openCypher Queries over RDF Graphs, visit the features page, user guide, and feature blog.

Announcing a larger Windows instance bundle for Amazon Lightsail

Amazon Lightsail now offers a larger Windows instance bundle with 16 vCPUs and 64 GB memory. The new Windows instance bundle is available with Windows Server operating system (OS) and SQL Server blueprints, for both IPv6-only and dual-stack networking types. You can use the new bundle to run new Windows workloads, or to scale up your existing Windows workloads by creating new instances from snapshots.\n The new larger Windows instance bundle enables you to run compute- and memory-intensive Windows workloads. This higher performance instance bundle is ideal for general purpose workloads that require ability to handle large spikes in load. You can run web servers, large databases, remote desktop services, active directory services, email servers, enterprise .NET applications, and more using the new bundle. You can use the new bundle to create a pre-configured Windows instance in a few clicks, and connect to it within the Lightsail console using the browser-based RDP client. This new bundle is now available in all AWS Regions where Amazon Lightsail is available. For more information on pricing, or to get started with your free account, click here.

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