Kategorie: Amazon AWS

Amazon EMR Serverless now supports AWS KMS customer managed keys for encrypting local disks

Amazon EMR Serverless now supports encrypting local disks with AWS Key Management Service (KMS) customer managed keys (CMKs). You can now meet strict regulatory and compliance requirements with additional encryption options beyond default AWS-owned keys, giving you greater control over your encryption strategy. Amazon EMR Serverless is a deployment option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Local disks on EMR Serverless workers are encrypted by default using AWS-owned keys. With this launch, customers who have strict regulatory and compliance needs can encrypt local disks with AWS KMS customer managed keys (CMKs) in the same account or from another account. This integration is supported on new or existing EMR Serverless applications and on all supported EMR release versions. You can specify the AWS KMS customer managed key at the application level where it applies to all workloads submitted on the application or you can specify the AWS KMS customer managed key for a specific job run or interactive session. This feature is available in all supported EMR Releases and in all AWS Regions where Amazon EMR Serverless is available including AWS GovCloud (US) and China regions. To learn more, see Local Disk Encryption with AWS KMS CMK in the Amazon EMR Serverless User Guide.
Quelle: aws.amazon.com

AWS Clean Rooms adds support for join and partition hints in SQL

AWS Clean Rooms announces support for join and partition hints for SQL queries, enabling optimization of join strategies and data partitioning for improved query performance and reduced costs. This launch enables you to apply SQL hints to your queries using comment-style syntax in pre-approved analysis templates as well as ad hoc SQL queries. You can now optimize large table joins using a broadcast join hint and you can improve data distribution with partition hints for better parallel processing. For example, a measurement company analyzing how many households viewed a live sports event uses a broadcast join hint on their lookup table to improve query performance and reduce costs. With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
Quelle: aws.amazon.com

Amazon Connect can now automatically select random samples of agent contacts for evaluation

Amazon Connect can now provide managers with random samples of agent contacts for evaluation, so they can provide fair coaching feedback to agents. Managers can specify how many contacts they need to review per agent, as per union agreements, regulations, or internal guidelines. They then receive the required number of contacts randomly selected from the specified timeframe, for example, 3 contacts per agent from the last week. Additionally, managers can use new filters to ensure that the selected contacts are suitable for evaluation, such as those with audio or screen recordings, transcripts, and exclude previously evaluated contacts. This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.
Quelle: aws.amazon.com

Amazon SageMaker HyperPod introduces enhanced lifecycle scripts debugging

Amazon SageMaker HyperPod now provides enhanced troubleshooting capabilities for lifecycle scripts, making it easier to identify and resolve issues during cluster node provisioning. SageMaker HyperPod helps you provision resilient clusters for running AI/ML workloads and developing state-of-the-art models such as large language models (LLMs), diffusion models, and foundation models (FMs). When lifecycle scripts encounter issues during cluster creation or node operations, you now receive detailed error messages that include the specific CloudWatch log group and log stream names where you can find execution logs for lifecycle scripts. You can view these error messages by running the DescribeCluster API or by viewing the cluster details page in the SageMaker console. The console also provides a “View lifecycle script logs” button that navigates directly to the relevant CloudWatch log stream, making it easier to locate logs. Additionally, CloudWatch logs for lifecycle scripts now include specific markers to help you track lifecycle script execution progress, including indicators for when the lifecycle script log begins, when scripts are being downloaded, when downloads complete, and when scripts succeed or fail. These markers help you quickly identify where issues occurred during the provisioning process. These enhancements reduce the time required to diagnose and fix lifecycle script failures, helping you get your HyperPod clusters up and running faster. This feature is available in all AWS Regions where Amazon SageMaker HyperPod is supported. To learn more, see SageMaker HyperPod cluster management in the Amazon SageMaker Developer Guide.
Quelle: aws.amazon.com

Amazon Quick Suite launches expanded size, faster ingestion, and richer data type support for SPICE datasets

Amazon Quick Suite SPICE engine is now supporting higher scale, faster ingestion, and broader data types to power advanced analytics and AI-driven workloads. With this launch, customers can load up to 2TB of data per dataset, doubling the previous 1TB limit, when using the new data preparation experience. Despite the increased dataset size, SPICE continues to deliver strong performance, with ingestion further optimized to enable even faster data loading and refresh to reduce time to insight. We’ve also expanded SPICE’s data type support by increasing string length limits from 2K to 64K Unicode characters and extending the supported timestamp range from year 1400 back to year 0001. As Quick Suite customers bring richer, more complex, and increasingly AI-driven workloads into SPICE, these enhancements enable broader data coverage, faster data onboarding, and more powerful analytics, without compromising performance. To learn more, visit our documentation. The new SPICE dataset size limitation is now available in Amazon Quick Sight Enterprise Editions across all supported Amazon Quick Sight regions. 
Quelle: aws.amazon.com

Amazon RDS for Oracle extends support for bare metal instances to Standard Edition 2

Amazon RDS for Oracle now supports bare metal instances with Bring Your Own License (BYOL) license for Oracle Standard Edition 2. You can use M7i, R7i, X2iedn, X2idn, X2iezn, M6i, M6id, M6in, R6i, R6id, and R6in bare metal instances at 25% lower price compared to equivalent virtualized instances. With bare metal instances, you may be able to reduce your commercial database license and support costs by using bare metal instances since they provide full visibility into the number of CPU cores and sockets of the underlying server. Most bare metal instances have 2 sockets while db.m7i.metal-24xl and db.r7i.metal-24xl instances each have a single socket. Consult your legal or licensing partner to determine if you can use bare metal instances with Oracle Standard Edition 2 and if you can reduce license and support costs. Bare metal instances are available with Bring Your Own License (BYOL) license for Oracle Enterprise Edition Standard Edition 2. Refer to Amazon RDS for Oracle Pricing for available instance configurations, pricing, and region availability.
Quelle: aws.amazon.com

AWS expands managed integrations for AWS IoT Device Management service coverage to the Middle East (UAE) region

AWS IoT Device Management now offers the managed integrations feature in the Middle East (UAE) region. Organizations operating in this region can now better serve their local customers, helping them build unified Internet of Things (IoT) solutions that can easily onboard and manage diverse IoT devices through a single interface, regardless of connection type – direct, hub-based, or third-party cloud-based. Managed integrations provides developers with a unified interface and device SDKs supporting ZigBee, Z-Wave, Matter and Wi-Fi protocols. The feature includes partner built cloud-to-cloud connectors and 80+ device data model templates based on AWS’s implementation of the Matter data model standard. These capabilities allow developers to rapidly integrate devices into end user applications, such as home security, energy management, and elderly care monitoring. The managed integrations feature is available in Canada (Central), Europe (Ireland) and Middle East (UAE) regions. To learn more, refer to the developer guide and get started on the AWS IoT console.
Quelle: aws.amazon.com

SageMaker Unified Studio adds support for cross-Region and IAM role-based subscriptions

Amazon SageMaker Unified Studio now supports cross-Region subscriptions and IAM role-based subscriptions for simple and flexible data access and governance. With cross-Region support, you can subscribe to AWS Glue tables and views, as well as Amazon Redshift tables and views published in a different AWS Region than your project. This capability helps break down data silos and enable better collaboration across your organization by allowing teams to access curated data assets from any AWS Region without manual replication. Additionally, you can now discovery and request access to data through IAM-role based subscriptions. This allows you to request access to data without requiring a SageMaker Unified Studio project, eliminating the project intermediary layer and simplifying access to data through IAM roles. To get started with cross-Region subscriptions, log into SageMaker Unified Studio, or use the Amazon DataZone API, SDK, or AWS CLI. IAM role-based subscriptions are available via Amazon DataZone API and SDK. These new APIs for cross-Region subscriptions and IAM role-based access are available in all AWS Regions where SageMaker Unified Studio is supported. To learn more, see the SageMaker Unified Studio user guide.
Quelle: aws.amazon.com

Amazon Quick Sight expands dashboard customization in tables and pivot tables

Building on our recent launch of customizable tables and pivot tables, Amazon Quick Sight now enables readers to add or remove fields, change aggregations, and modify formatting directly in dashboards—all without requiring updates from dashboard authors. These enhanced capabilities empower readers with even greater flexibility to tailor their data views for specific analytical needs. For example, sales managers can add revenue breakdowns by product category to identify growth opportunities, while finance teams can change aggregations from sum to average to better understand spending patterns across departments. These new customization features are now available in Amazon Quick Sight Enterprise Edition across all supported Amazon Quick Sight regions. To get started with these new customization features, see our blog post.
Quelle: aws.amazon.com

AWS Glue is now available in Asia Pacific (New Zealand) Region

AWS Glue is now available in the Asia Pacific (New Zealand) Region, enabling customers to build and run their ETL workloads closer to their data sources in this region. AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides both visual and code-based interfaces to make data integration simpler so you can analyze your data and put it to use in minutes instead of months. To learn more, visit the AWS Glue product page and our documentation. For AWS Glue Region availability, please see the AWS Region table.
Quelle: aws.amazon.com