Uploaded December 2022 | Updated September 2026, 1 day ago

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Welcome to AWS re:Invent 2021, where our Cloud Gurus are coming to you live from Las Vegas! In this episode, join Mattias Andersson and Jess Alvarez as they recap the third day of AWS re:Invent 2022, and dive into all the exciting releases announced in Swami Sivasubramanian’s keynote.

Introduction (0:00)
Future-proof data foundation (0:27)
New SageMaker capabilities (1:07)
Amazon Athena for Apache Spark (1:37)
Zero-ETL future on AWS (1:51)
AWS Glue Data Quality (2:05)
Data Wrangler supports over 40 data sources (2:23)
Additional data connectors for Amazon AppFlow (2:46)
SageMaker geospatial ML (3:03)
AWS verified access (3:29)

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- New ML Governance Tools for Amazon SageMaker – Simplify Access Control and Enhance Transparency Over Your ML Projects: aws.amazon.com/blogs/aws/new-ml-governance-tools-for-amazon-sagemaker-simplify-access-control-and-enhance-transparency-over-your-ml-projects
- Amazon Athena for Apache Spark: aws.amazon.com/blogs/aws/new-amazon-athena-for-apache-spark
- New for Amazon Redshift – Simplify Data Ingestion and Make Your Data Warehouse More Secure and Reliable: aws.amazon.com/blogs/aws/new-for-amazon-redshift-simplify-data-ingestion-and-make-your-data-warehouse-more-secure-and-reliable
- Join the Preview – AWS Glue Data Quality: aws.amazon.com/blogs/aws/join-the-preview-aws-glue-data-quality
- Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sources: aws.amazon.com/blogs/aws/new-amazon-sagemaker-data-wrangler-supports-saas-applications-as-data-sources
- Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data: aws.amazon.com/blogs/aws/preview-use-amazon-sagemaker-to-build-train-and-deploy-ml-models-using-geospatial-data
- AWS Verified Access Preview — VPN-less Secure Network Access to Corporate Applications: aws.amazon.com/blogs/aws/aws-verified-access-preview-vpn-less-secure-network-access-to-corporate-applications