Nov 29, 2020
2 min read
re:Invent: Data Sessions Week 1
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
