re:Invent: Data Sessions Week 1

https://reinvent.awsevents.com

Here is my list of sessions for week one of re:Invent focussed around data and analytics.

• How to use fully managed Jupyter notebooks in Amazon SageMaker
• What’s new with Amazon S3
• How BMW Group uses AWS serverless analytics for a data-driven ecosystem
• Innovate faster with applications on AWS storage
• Embed analytics in your applications with Amazon QuickSight
• Discovering insights from customer surveys at McDonald’s
• What’s new in Amazon ElastiCache
• How FINRA operates PB-scale analytics on data lakes with Amazon Athena
• How Zynga modernized mobile analytics with Amazon Redshift RA3
• Implementing MLOps practices with Amazon SageMaker
• Break down data silos: Build a serverless data lake on Amazon S3
• Amazon DocumentDB (with MongoDB compatibility) Deep Dive
• Gameloft: A zero downtime data lake migration deep dive
• Nationwide’s journey to a governed data lake on AW
• BI at hyperscale: Quickly build and scale dashboards with Amazon QuickSight
• Building for the future with AWS databases
• How the NFL builds computer vision training datasets at scale
• What’s new in Amazon RDS
• Serverless analytics at Equinox Media: Handling growth during disruption
• Data modeling with Amazon DynamoDB — Part 1
• Dive deep into AWS Schema Conversion Tool and AWS DMS
• How Vyaire uses AWS analytics to scale ventilator production
• From POC to production: Strategies for achieving machine learning at scale
• The right tool for the job: Enabling analytics at scale at Intuit
• Secure and compliant machine learning for regulated industries
• How Disney+ uses fast data ubiquity to improve the customer experience
• Deep dive on Amazon Aurora with PostgreSQL compatibility
• Train and tune ML models to the highest accuracy using Amazon SageMaker
• How Nielsen built a multi-petabyte data platform using Amazon EMR
• How Goldman Sachs uses an Amazon MSK backbone for its Transaction Banking Platform
• Data modeling with Amazon DynamoDB — Part 2
• How Disney+ scales globally on Amazon DynamoDB
• Productionizing R workloads using Amazon SageMaker, featuring Siemens

For a full list of sessions and to register visit https://reinvent.awsevents.com