Amazon QuickSight administrators can now access user level cost and usage data for all user types in AWS Billing Cost and Usage Reports in a standardized format. This common format across reader, authors, and admin user types will allow QuickSight customers to create standardized cost breakdowns of their deployments, and enable cost charge back to internal teams and stakeholders. This change is applicable in all regions where Amazon QuickSight is available.  

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the April 2023 Release Update (RU) for Oracle Database 21c.

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now allows customers to use their own SQL Server installation media when creating an instance. By using Bring Your Own Media (BYOM), customers may leverage their existing SQL Server licenses with Amazon RDS Custom for SQL Server. Amazon RDS Custom is a managed database service that allows customization of the underlying operating system and database environment. Managed features of RDS Custom for SQL Server include Multi-AZ deployment, point-in-time recovery and more.

Amazon CloudWatch Logs is excited to announce support for account level data protection policy configuration, you can now create a data protection policy that will be applied to all existing and future log groups within your AWS account. 

Starting today, AWS Directory Service for Microsoft Active Directory customers can access directory administrative EC2 instances easily from the AWS Directory Service console. Now, within minutes you can deploy a preconfigured domain-joined EC2 instance with Microsoft Active Directory administrative tools.

Today, Amazon Simple Queue Service (SQS) announces support for dead-letter queue redrive via AWS SDK or Command Line Interface (CLI). Dead-letter queue redrive is an enhanced capability to improve the dead-letter queue management experience for Amazon SQS customers. Now, customers can use AWS SDK or CLI to move messages from the dead-letter queue to programmatically manage the lifecycle of their unconsumed messages at scale. 

Amazon Athena for Apache Spark now supports open-source data lake storage frameworks Apache Hudi 0.13, Apache Iceberg 1.2.1, and Linux Foundation Delta Lake 2.0.2. These frameworks simplify incremental data processing of large data sets using ACID (atomicity, consistency, isolation, durability) transactions and make it simpler to store and process large data sets in your data lakes.

Amazon Athena for Apache Spark now allows you to use your own Java libraries and customize the Spark configurations for your Spark workloads. You can use Java libraries as custom JARs with Athena Spark to analyze data from multiple sources or use functions in custom jars for more flexibility with calculations.

Amazon Timestream announces the general availability of Customer Defined Partition Keys, providing additional flexibility for customers to partition their data based on their needs, and optimizing data collocation for lower query latency.

Amazon Connect Customer Profiles now supports real-time data export of unified customer profiles to Amazon Kinesis Data Stream. Companies can enable data streaming and automatically receive data for new profiles and updates to existing profiles into their Amazon Kinesis Data Stream.