Real-Time or Real Enough? What 'Fast' Actually Means in Fabric
About the Session
The demand for "instant data" in Microsoft Fabric presents a critical architectural choice: Real-Time Intelligence, Mirroring, Shortcuts, or Direct Lake? Each option carries a different meaning of "real-time", with major implications for latency, cost, and complexity. We'll examine end-to-end latency from source to dashboard - because to your business users, data isn't "real-time" until they can actually see it.
Too often the decision gets made based on what sounds most impressive rather than what the data and the use case actually need.
This session gives you a practical framework for matching each option to the right scenario based on your data characteristics, your latency requirements, and how much complexity you're actually willing to maintain.
About the Speaker
Karin is a Senior Data & Analytics Consultant at adesso Austria, specializing in Microsoft Fabric, Power BI, and the modern data stack. With a strong end-to-end mindset, she focuses on breaking down complex BI challenges into practical, actionable solutions.
As one of the organizers of the Microsoft Fabric & Power BI User Group Austria, she helps to connect and grow the local data community. In her work, she combines clear data modeling with a pragmatic “let’s just try it” approach to explore - and sometimes break - new features across the Fabric ecosystem.