In this full-day, end-to-end workshop designed to help data professionals understand what Microsoft Fabric is, the services and components it includes, and how to create, use, and manage a Fabric deployment from a practical, solution-focused perspective. The workshop emphasizes learning Fabric “as a platform” across core experiences—covering foundational concepts like OneLake and Fabric architecture, compute engines, roles, and benchmarks, then progressing into how teams build analytics solutions using data warehousing, data integration, and the Lakehouse.

Attendees will also explore the tooling and developer experience used with Fabric—covering Copilot, SQL Server Management Studio, Excel, OneLake File Explorer, Kusto Explorer, Visual Studio Code, Power BI, and Storage Explorer—to understand how data engineers, analysts, and developers interact with Fabric in real workflows.

The day extends into modern platform capabilities including Mirroring in Fabric for low-latency replication into OneLake, Real-Time Intelligence (streaming/event data with KQL, Eventhouse vs. KQL Database, KQL dashboards, and Data Activator), and the OLTP database workload area covering Fabric SQL Database and Cosmos DB in Microsoft Fabric (preview). Finally, the workshop includes a dedicated module on Copilots and Data Agents in Fabric.

You will learn:

• About the Microsoft Fabric platform architecture and core concepts, including OneLake, compute engines, roles, and benchmarks, and how they come together to support end‑to‑end analytics solutions.
• How to build analytics solutions in Microsoft Fabric using Data Warehouses, Lakehouses, Mirroring, Real‑Time Intelligence, and OLTP databases, and understand when each workload is used.
• Gain hands-on familiarity with the Fabric user and developer experience, including desktop tools, Copilots and Data Agents, and how different personas interact with data across the Fabric platform.