Matthias Nicola

Join this lab for a hands-on experience of sharing, requesting and consuming data and AI assets within your organization. You will share and govern not only basic data products including Apache Iceberg but also semantic models, AI agents and other artifacts. This lab teaches you how to publish such assets on Internal Marketplace, define governance controls and request and gain access. You will also exercise the latest Internal Marketplace features such as custom data product attributes to tailor the marketplace experience to your requirements.

Sharing data internally doesn’t compromise on security or speed. This session showcases a hands-on approach to protecting sensitive data products using Snowflake Organization User Groups. We’ll show how centralized governance via the organization account can be pushed down to local accounts seamlessly and how to use this to protect your sensitive data. Learn how to architect row-access and masking policies that reference org-level groups, ensuring consistent protection across your entire data mesh to automate data privacy and scale your internal marketplace with confidence.

Join this lab to gain hands-on experience with sharing, discovering and managing data products on the Snowflake Internal Marketplace. You will create data provider profiles to define different teams, publish data products as organizational listings with rich meta data, and configure discoverability and accessibility. You will also exercise request-and-approval workflows, as well as the governance and consumption of data products within and across Snowflake accounts.