Microsoft Fabric simplifies modern analytics by bringing data engineering, data warehousing, real-time analytics, and business intelligence into a unified platform. Designing a production-ready Fabric environment, however, requires careful architectural decisions around scalability, governance, security, and cost optimization.

In this session, we'll explore practical patterns for building enterprise-scale data platforms with Microsoft Fabric. Using real-world implementation examples, we'll discuss Medallion architecture, Lakehouse design, Data Factory pipelines, Spark optimization, semantic models, security, monitoring, and capacity management.

Attendees will gain actionable guidance for designing scalable, secure, and high-performing Fabric solutions that support analytics and AI workloads.