Build and Democratize AI-Ready Data Products in Snowflake

Today, most if not every business is sharing data in various ways. However, simply giving access to data is no longer enough. To build a solid foundation for AI, organizations must invest in creating and sharing AI-ready data products. These data products are high-quality, curated datasets, and include rich metadata and semantic definitions. By sharing these easily accessible, consumer-ready data products, you can democratize access to data and ensure alignment across business departments.

This instructor-led lab will teach you how to build and share AI-ready data products using Snowflake Internal Marketplace, providing step by step guidance on how to:

• Package data products using Org Listings and Org Profiles (GA) for easy discoverability
• Use Request Approval Workflows (GA) for secure distribution across your organization
• Share Snowflake managed or externally managed Iceberg tables with consumers in any region for greater interoperability

And, you will get a sneak peek at brand new capabilities like Resharing (PrPr) to share data to another organization and Sharing Semantic Views (PrPr) to provide contextualized meaning to data.