Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight
Find solutions to your most critical business challenges with ease. Amazon Q in QuickSight enables business users to perform complex scenario analysis up to 10x faster than spreadsheets.
Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI
Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.
Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone
Realize visual traceability of data origins, transformations, and usage – bolstering trust, governance, and discoverability for strategic data-driven decisions.
New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse
Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.
Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse
Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.
Amazon SageMaker Lakehouse and Amazon Redshift supports zero-ETL integrations from applications
Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.
AWS Clean Rooms now supports multiple clouds and data sources
With expanded data sources, AWS Clean Rooms helps customers securely collaborate with their partners’ data across clouds, eliminating data movement, safeguarding sensitive information, promoting data freshness, and streamlining cross-company insights.
New Amazon CloudWatch and Amazon OpenSearch Service launch an integrated analytics experience
Unlock out-of-the-box OpenSearch dashboards and two additional query languages, OpenSearch SQL and PPL, for analyzing CloudWatch logs. OpenSearch customers can now analyze CloudWatch Logs without having to duplicate data.
Replicate changes from databases to Apache Iceberg tables using Amazon Data Firehose (in preview)
Amazon Data Firehose introduces a new capability that captures database changes and streams updates to a data lake or warehouse, supporting PostgreSQL, MySQL, Oracle, SQL Server, and MongoDB, with automatic scaling and minimal impact on transaction performance.
Introducing Express brokers for Amazon MSK to deliver high throughput and faster scaling for your Kafka clusters
With 3x throughput, 20x faster scaling, and 90% reduced recovery time, Express brokers deliver unmatched performance for Apache Kafka on AWS, streamlining operations while cutting infrastructure costs by 50%.