Real-Time Intelligence & Semantic Modeling
About this course
Deliver live, responsive analytics by combining real-time intelligence with advanced semantic modeling in Microsoft Fabric. This hands-on course guides you through streaming architecture and BI optimization so you can build scalable dashboards that support high-performance decision-making. You’ll write KQL queries with time-series windowing to power real-time dashboards and configure Eventstream to capture and route streaming data to destination sinks. You’ll design Eventhouse table schemas with retention policies to support compliance and performance needs. Moving into semantic modeling with Power BI, you’ll build star-schema models with correct relationships and hierarchies, write optimized DAX measures using iterators and time-intelligence functions, configure calculation groups with dynamic format strings, implement incremental refresh and aggregations, and use Performance Analyzer to resolve report bottlenecks. By the end of this course, you’ll be able to design real-time analytics solutions and production-grade semantic models that deliver fast, governed, and scalable BI experiences.
75/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
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- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- construct real-time analytics solutions
- design production-grade semantic models
- write KQL queries with time-series windowing
- build star-schema models with relationships and hierarchies
- implement incremental refresh and aggregations
- utilize Performance Analyzer to identify report bottlenecks
Course objectives
- to create live, responsive analytics
- to effectively capture and route streaming data
- to optimize business intelligence performance
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