Amazon Omics is a new purpose-built service that helps healthcare and life science organizations store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Omics is designed to support large scale analysis and collaborative research so you can store and, together with other AWS services, analyze genome data for entire populations. Amazon Omics also automates provisioning and scaling of bioinformatics workflows, so you can run analysis pipelines at production scale and spend more time on research and innovation.

Amazon Redshift already supports role-based access control, row-level security, and column-level security to enable organizations to enforce fine-grained security on Redshift data. Amazon Redshift now extends these security features by supporting Dynamic Data Masking (DDM) that allows you to simplify the process of protecting sensitive data in your Amazon Redshift data warehouse. With Dynamic data masking, you control access to your data through simple SQL based masking policies that determine how Redshift returns sensitive data to the user at query time. Dynamic data masking makes it simple for you to adapt to changing privacy requirements without altering underlying data or updating SQL queries.

Amazon Redshift now supports real-time streaming ingestion for Amazon Kinesis Data Streams (KDS) and Amazon Managed Streaming for Apache Kafka (MSK). Amazon Redshift streaming ingestion eliminates the need to stage streaming data in Amazon S3 before ingesting it into Amazon Redshift, enabling customers to achieve low latency, measured in seconds, while ingesting hundreds of megabytes of streaming data per second into their data warehouse. 

Today, AWS Key Management Service (AWS KMS) introduces the External Key Store (XKS), a new feature for customers who want to protect their data with encryption keys stored in an external key management system under their control. This capability brings new flexibility for customers to encrypt or decrypt data with cryptographic keys, independent authorization, and audit in an external key management system outside of AWS.

Amazon Aurora now supports zero-ETL integration with Amazon Redshift, to enable near real-time analytics and machine learning (ML) using Amazon Redshift on petabytes of transactional data from Aurora. Within seconds of transactional data being written into Aurora, the data is available in Amazon Redshift, so you don’t have to build and maintain complex data pipelines to perform extract, transform, and load (ETL) operations.

Amazon QuickSight Q now includes artificial intelligence (AI)-enhanced automated data preparation, making it fast and straightforward to augment existing dashboards for natural language questions. Preparing data for natural language query takes time and effort. Authors must imagine terms their users will input and manually replicate field names and data type information from their dashboards.

Amazon Kinesis Data Firehose can now deliver streaming data to an Amazon OpenSearch Serverless. With few clicks, you can easily ingest, transform, and reliably deliver streaming data into an Amazon OpenSearch Serverless without building and managing your own data ingestion and delivery infrastructure. Kinesis Data Firehose is a fully managed service that automatically scales to match the throughput of your data and without ongoing administration.

AWS Outposts can now be shipped and installed at your data center and on-premises locations in Qatar, Guatemala, and Trinidad & Tobago.

Today AWS announces the preview release of AWS Verified Access, a new service that allows you to deliver secure access to corporate applications without a VPN. Built using AWS Zero Trust guiding principles, Verified Access helps you implement a work-from-anywhere model in a secure and scalable manner.

Today, AWS announces the preview of Amazon VPC Lattice, an application layer networking service that makes it simple to connect, secure, and monitor service-to-service communication. You can use VPC Lattice to enable cross-account, cross-VPC connectivity, and application layer load balancing for your workloads in a consistent way regardless of the underlying compute type – instances, containers, and serverless.