Microsoft Fabric is transforming how organizations build modern analytics platforms, but designing an enterprise-ready architecture requires more than simply moving workloads to the cloud.

In this session, I'll share practical architectural patterns and lessons learned for building scalable, secure, and high-performance data platforms using Microsoft Fabric. We'll explore how to design end-to-end data pipelines, optimize Lakehouse performance, implement governance, and support analytics and AI workloads in enterprise environments.

Attendees will learn how to:

Design scalable data architectures using Microsoft Fabric.
Build efficient data ingestion and transformation pipelines.
Optimize Lakehouse and Warehouse performance.
Implement governance, security, and data quality best practices.
Integrate Fabric with Azure services for enterprise analytics.
Avoid common implementation pitfalls and performance bottlenecks.

This session is intended for data engineers, architects, and technical leaders looking for practical guidance beyond introductory Fabric demonstrations.