Data is everywhere lakehouses, warehouses, cloud storage, databases, SaaS applications, and increasingly, AI agents that need access to it all.
The challenge is no longer collecting data; it's making data discoverable, trusted, and secure without creating governance bottlenecks.
In this session, we'll take a deep dive into the OneLake Catalog in Microsoft Fabric and explore how it unifies data discovery, governance, and security into a single experience. You'll learn how to organize your data estate with domains and workspaces, discover data through rich metadata and lineage, prepare data for AI experiences, and govern access with fine-grained security controls.

We'll also look at how OneLake Catalog enables a modern data mesh architecture, integrates with external catalogs and APIs, and empowers both technical and business users to confidently find and use trusted data.

Whether you're a data engineer, administrator, architect, or analytics leader, you'll leave with practical guidance for building an AI-ready, governed data platform in Microsoft Fabric.

Learn how OneLake Catalog helps you turn data chaos into trusted, discoverable, and secure data products for the era of AI and self-service analytics.