Lessons Learned from Implementing End-to-End Real-Time Intelligence Solutions in Fabric

Over the past two years, we have designed and implemented continuous data processing solutions in Microsoft Fabric for multiple customers, addressing diverse business and technical requirements. In this session, we’ll share our experiences building end-to-end Real-Time Intelligence architectures—from data ingestion and medallion-based data processing using Fabric’s real-time capabilities to advanced data analytics and reporting in Power BI.

We conducted extensive testing using two primary components for data processing: Real-Time Intelligence (Eventhouse) and Data Engineering (Lakehouse with Spark Structured Streaming). We also evaluated suitable Power BI storage modes. Attendees will gain practical insights into key design choices, trade-offs, and performance considerations for implementing real-time pipelines, along with lessons learned from testing different implementation approaches.

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