7/31/2024, 12:00:00 AM ~ 8/1/2024, 12:00:00 AM (UTC)
Recent Announcements
Announcing fine-grained access control via AWS Lake Formation with EMR Serverless
We are excited to announce the general availability of fine-grained data access control (FGAC) via AWS Lake Formation for Apache Spark with Amazon EMR Serverless. This enables you to enforce full FGAC (database, table, column, row and cell-level) policies defined in Lake Formation to take effect for your data lake tables from your EMR Serverless Spark jobs and interactive sessions.\n Lake Formation makes it simple to build, secure, and manage data lakes. It allows you to define fine-grained access controls through grant and revoke statements, similar to those used with relational database management systems (RDBMS), and automatically enforce those policies via compatible engines like Athena, Spark on EMR on EC2, and Redshift Spectrum. With today’s launch, the same Lake Formation rules that you set up for use with other services like Athena now apply to your Spark jobs and interactive sessions on EMR Serverless, further simplifying security and governance of your data lakes. Fine-grained access control for Apache Spark batch jobs and interactive sessions via EMR Studio on EMR Serverless is available with the EMR 7.2 release in all regions where EMR Serverless is available except GovCloud and China regions. To get started, see Using AWS Lake Formation with Amazon EMR Serverless.
Amazon Connect now enables agents to view pre-approved windows when scheduling time off
Amazon Connect now enables agents to view pre-approved time off windows for their scheduling group (group allowance), making it easier for agents to identify available options when requesting time off. For example, when creating a time off request for 8 a.m. to 12 p.m., an agent can now see that while there is available group allowance for 8 a.m. to 11 a.m., there isn’t any remaining allowance for 11 a.m. to 12 p.m. Agents can then modify their time off request before submitting or request a supervisor override. This launch simplifies the time off process for agents by letting them evaluate which days have the required allowance before submitting the request.\n This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To get started with Amazon Connect agent scheduling, click here.
AWS Blogs
AWS Japan Blog (Japanese)
- Achieve a multi-region active-active architecture with Amazon CloudFront using latency-based routing
AWS News Blog
AWS Architecture Blog
AWS Cloud Operations & Migrations Blog
- Protect your AWS resources from unauthorized access using AWS Organizations integrations
- Minimizing ambiguity in custom scope migrations
AWS Big Data Blog
- Deliver Amazon CloudWatch logs to Amazon OpenSearch Serverless
- Synchronize data lakes with CDC-based UPSERT using open table format, AWS Glue, and Amazon MSK
AWS Contact Center
AWS DevOps Blog
- Accelerate your Terraform development with Amazon Q Developer
- Balance deployment speed and stability with DORA metrics
AWS Machine Learning Blog
- Unlocking Japanese LLMs with AWS Trainium: Innovators Showcase from the AWS LLM Development Support Program
- Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock