AWS re:Invent 2024 featured major analytics advancements aimed at empowering businesses to leverage their data effectively and accelerate insights.
Key announcements included updates to Amazon SageMaker, introducing enhanced capabilities such as Unified Studio and Lakehouse for unified data access and governance.
Amazon DynamoDB integration with SageMaker Lakehouse offered zero-ETL automation for data replication, streamlining the process for deriving insights.
Introduction of Amazon S3 Tables optimized for analytics workloads, supporting Apache Iceberg tables and providing faster query throughput and transaction rates.
Amazon S3 Metadata simplifies metadata management and queryability for S3 data, improving data organization and accessibility.
AWS Glue 5.0 enhancements include updated engines, support for SageMaker Lakehouse, and Spark native access control for improved data integration and insights.
AWS expanded data connectivity for SageMaker Lakehouse and AWS Glue, offering unified data connectivity capabilities and generative AI troubleshooting for Apache Spark.
Amazon Redshift introduced features like zero-ETL integrations with various applications, incremental refresh for materialized views, and Serverless with AI-driven scaling and optimization.
Amazon QuickSight unveiled scenarios analysis capabilities with Amazon Q, prompted reports and reader scheduling, and unification of insights from structured and unstructured data.
Amazon DataZone enhancements included data lineage visualization, enforced metadata rules for governance, and expanded data access with tools like Tableau and Power BI.
AWS Clean Rooms now supports collaboration with datasets from multiple clouds and data sources, facilitating secure data sharing and collaboration.