Tag: Semantic Model
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Understanding Ontology in Microsoft Fabric: The Semantic Layer for Business and AI
Modern data platforms have become incredibly good at centralizing data. With solutions like Microsoft Fabric, organizations can bring together operational systems, analytics workloads, and AI capabilities into a single unified environment. Data from ERPs, CRMs, operational systems, and IoT platforms can now live side-by-side in OneLake. But even with all of this consolidation, a major Read more
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Demystifying Power BI Visual Calculations: A Simpler Path to DAX
As Power BI continues to evolve, so do the ways we interact with data. One of the newest and most promising additions to the Power BI toolkit is Visual Calculations, a feature designed to reduce the friction of writing DAX, streamline report building, and create more agile analytical experiences. In this blog, we’ll unpack what Read more
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Copilot for Power BI: Best Practices for AI-Ready Semantic Models
Microsoft recently announced at FabCon that Copilot will soon be available across all SKUs, a major step toward making AI-powered analytics accessible to everyone. With this exciting shift, a critical question now sits in front of every data team: Is your semantic model ready for Copilot? While the idea of simply “asking your data questions” Read more
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Power BI Storage Modes: Import vs. DirectQuery vs. Direct Lake – Which One is Right for You?
When you first load a table into Power BI, one of the key decisions you’ll need to make is whether to use Import mode or DirectQuery mode. Both options have distinct advantages and drawbacks, and the best choice for your use case will depend on your specific requirements. In recent developments, a new option, Direct Read more