Karin Szilágyi
Senior Data & Analytics Consultant @adesso Austria | Fabric Super User
Graz, Austria
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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.
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Getting Data Into Microsoft Fabric: The Right Tool for the Right Job
One of the first questions you face in Fabric is simple: How do I get my data in? The answer is: "it depends". This session will help you understand what it actually depends on.
We'll look at Fabric's core ingestion options: Pipelines, Copy Jobs, Dataflow Gen2, Spark, and Eventstream. For each one, we'll answer:
• Who is it actually built for?
• When does it perform best?
• What are its limits, bottlenecks, and cost implications?
We'll compare them side by side so you can confidently pick the right tool for your specific workload and turn "it depends" into a much more actionable answer.
Copilot, Data Agents, MCP, Fabric IQ - einmal Klartext bitte!
Copilot, Data Agents, MCP Server, Fabric IQ – Microsoft Fabric's KI-Stack wächst schnell, und irgendwann stellt man sich die Frage: Was davon ist für mich überhaupt relevant, und wo fange ich an?
In dieser Session bekommt jede Komponente eine ehrliche Einordnung: Was sie tut, für welchen Use Case sie gedacht ist, und was man wissen sollte bevor man anfängt. Copilot ist nicht dasselbe wie ein Data Agent. Ein MCP Server ist kein Feature, sondern ein Protokoll. Fabric IQ löst ein anderes Problem als die anderen drei. Diese Unterschiede klingen klein, machen in der Praxis aber einen großen Unterschied.
Du gehst mit einem Gesamtbild raus, das dir hilft neue Entwicklungen einzuordnen - auch wenn der Stack sich weiterentwickelt.
Fabric's AI Toolkit: What Each Piece Does and When to Actually Use It
Fabric keeps shipping AI features: Copilot, Data Agents, MCP Servers, Fabric IQ, and the list keeps growing. If you've lost track of what's what, this session is the reset you need.
For each tool, we’ll break it down in detail and answer:
• What does it actually do?
• What does it need to work well?
• What are the current constraints?
• When do you reach for it over another option?
No prior experience with these specific features needed. Just bring a general idea of Fabric as a data platform and a reasonable amount of skepticism.
You'll leave with a clear picture of how these tools differ, complement each other, and fit into your architecture.
Real-Time or Real Enough? What 'Fast' Actually Means in Fabric
The demand for "instant data" in Microsoft Fabric presents a critical architectural choice: Real-Time Intelligence, Mirroring, or Shortcuts? 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.
Budapest BI & Analytics Forum 2026 Sessionize Event Upcoming
Shift+Enter Summit 2026 Sessionize Event Upcoming
Data Saturday Croatia 2026 Sessionize Event
New Stars of Data #10 Sessionize Event
Microsoft Data Platform Meetup Groningen User group Sessionize Event
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