In this keynote from AWS re:Invent 2022, Swami Sivasubramanian, VP of Data and Machine Learning at AWS, unveils the latest innovations in AWS data services. He outlines three core elements of a strong data strategy: building future-proof data foundations, weaving connective tissue across organizations, and democratizing data. Major announcements include Amazon Athena for Apache Spark, Amazon DocumentDB Elastic Clusters, Amazon SageMaker Geospatial ML capabilities, and Amazon DataZone. The keynote features customer stories from Expedia, AstraZeneca, and Warner Bros. Games, showcasing how AWS data services enable innovation across industries. Sivasubramanian also emphasizes the importance of data education, announcing new programs to expand access to data and ML training.

00:02:00 - Welcome
00:02:48 - Creativity, the science of ideas
00:08:14 - Data is the genesis for modern invention
00:10:40 - Customer stories
00:12:06 - Core elements of a data strategy
00:12:46 - Build future-proof foundations
00:18:35 - LAUNCH - Amazon Athena for Apache Spark
00:19:41 - Amazon Redshift Integration for Apache Spark
00:21:05 - Performance at Scale
00:24:14 - LAUNCH - Amazon DocumentDB Elastic Clusters
00:25:41 - Customer stories
00:26:39 - Guest Speaker: Rathi Murthy of Expedia
00:35:50 - Removing heavy lifting
00:38:42 - Geospatial data
00:39:55 - LAUNCH - Amazon Sagemaker Geospatial ML
00:41:10 - Demo - Amazon Sagemaker now supports Geospatial ML
00:46:30 - Reliability and scalability
00:48:12 - LAUNCH - Amazon Redshift Multi-AZ
00:50:35 - LAUNCH - Trusted Language Extensions for PostgreSQL
00:51:56 - Shared responsibility model
00:53:00 - LAUNCH - Amazon GuardDuty RDS Protection
00:54:30 - Connective tissue
00:57:20 - Quality tools and data drive future growth
00:58:43 - LAUNCH - AWS Glue Data Quality
00:59:50 - Data governance connects siloed teams
01:02:10 - LAUNCH - Centralized Access Controls for Redshift Data Sharing
01:04:15 - LAUNCH - Amazon SageMaker ML Governance