AWS Marketplace

This post lists AWS Marketplace re:Invent breakout sessions happening on Thursday, December 1.

In this blog post, I will show how data-driven organizations can easily integrate third-party data products procured via AWS Data Exchange into your data mesh using the new AWS Data Exchange for AWS Lake Formation feature.

This post lists AWS Marketplace re:Invent breakout sessions as well as mini-theater sessions happening in the AWS Marketplace Experience Pavilion on Wednesday, November 30.

In this post, Kam, Michelle, and I show you how to deploy the Cribl Stream observability Partner Solution into a new AWS account as part of the provisioning process using Account Factory Customization. Account Factory Customization enables you to create custom accounts natively in AWS Control Tower, define custom resources and configurations, and reduce account maintenance overhead.

This post lists AWS Marketplace re:Invent breakout sessions as well as mini-theater sessions happening in the AWS Marketplace Experience Pavilion and our evening cocktail reception on Tuesday, November 29.

This post shares AWS Marketplace re:Invent breakout sessions happening on Monday, November 28, along with other information.

Whether you are attending re:Invent in person or virtually, this is your guide for the key AWS Marketplace sessions, keynotes, demos, in-booth mini-theater sessions, and networking events not to be missed.

In this blog post, I provide a summary of the goals, keynotes, and breakout sessions you might have missed at the AWS Marketplace Seller Conference that occurred on September 20, 2022.

In this blog post, Stuart and I clarify the steps the AWS Marketplace MCO team takes to review and test your listing in AWS Marketplace. We also show how to perform an entitlements check and a metering records check using both SaaS QuickStart and your own API integration.

In this blog post, Jeff, Mike, and I will show you how to discover and use no-cost open data datasets on AWS Data Exchange. We will also show you how to enrich the open data with a paid dataset and how to import these datasets into Amazon SageMaker and do an analysis against them.