How long does it take to complete the program?

The program contains approximately 50 hours of content across five courses plus a career development module. Most learners complete the program in 3-4 months studying 4-5 hours per week, though self-paced access allows you to move faster or slower based on your schedule.

What will I get if I subscribe to this Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Real-Time Intelligence & Semantic Modeling

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Real-Time Intelligence & Semantic Modeling

This course is part of Microsoft Fabric Analytics Engineer Professional Certificate

Instructor: Microsoft

Included with Learn more

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9 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

- Capture and query real-time data with Event stream and KQL
- Create semantic models with DAX measures, row-level security, and incremental refresh

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

18 assignments¹

AI Graded see disclaimer

Taught in English

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Build your Software Development expertise

This course is part of the Microsoft Fabric Analytics Engineer Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Microsoft

There are 9 modules in 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.

Master KQL syntax for time-series analytics and connect queries to Power BI for real-time dashboards.

What's included

2 videos2 readings2 assignments

Learn the Real-Time Intelligence ecosystem and set up Eventstream to capture and route streaming data.

What's included

2 videos1 reading1 assignment

Create Eventhouse tables optimized for time-series analytics with appropriate retention policies.

What's included

1 video2 readings2 assignments

Understand semantic models and build star-schema relationships with proper cardinality, hierarchies, and field parameters for user-driven analysis.

What's included

3 videos1 reading2 assignments

3 videosTotal 17 minutes

What are Semantic Models?5 minutes
Relationships, Cardinality, and Filter Direction8 minutes
Field Parameters for Dynamic Analysis4 minutes

1 readingTotal 10 minutes

Hands-on Activity: Build a Star Schema with Field Parameters10 minutes

2 assignmentsTotal 12 minutes

Star Schema Design and Field Parameters4 minutes
Build Robust Star Schema Semantic Models Assessment8 minutes

Master DAX patterns for complex calculations while understanding performance implications.

What's included

1 video2 readings3 assignments

1 videoTotal 6 minutes

Iterators, Time Intelligence, and Context Transition6 minutes

2 readingsTotal 20 minutes

DAX Optimization Patterns10 minutes
Hands-on Activity: Analyze and Optimize DAX10 minutes

3 assignmentsTotal 32 minutes

Hands-on Activity: Optimize a DAX Measure20 minutes
Iterators, Time Intelligence, and DAX Optimization4 minutes
Optimize DAX Measures Assessment8 minutes

Build calculation groups that apply consistent time-intelligence patterns across all measures.

What's included

2 videos1 reading2 assignments

Set up incremental refresh policies and aggregation tables to achieve sub-second query times on large data.

What's included

1 video2 readings2 assignments

Diagnose slow reports with Performance Analyzer and implement targeted optimizations.

What's included

1 video2 readings3 assignments

1 videoTotal 4 minutes

When Users Give Up After 10 Seconds4 minutes

2 readingsTotal 20 minutes

Report Optimization Checklist10 minutes
Hands-on Activity: Diagnose and Fix Slow Report10 minutes

3 assignmentsTotal 32 minutes

Hands-on Activity: Report Performance Optimization20 minutes
Report Performance Analysis and Optimization4 minutes
Speed Up Power BI Reports Assessment8 minutes

Integrate all Long Course 4 skills to build and document a real-time dashboard with streaming data and an optimized semantic model.

What's included

3 readings1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Microsoft

368 Courses2,676,932 learners

Offered by

Microsoft

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Frequently asked questions

This advanced-level program assumes foundational experience with data engineering and modelling concepts. You should have basic familiarity with programming concepts. Prior experience with Power BI or data warehousing is helpful but not required.

Yes. The program includes hands-on activities designed for execution in Microsoft Fabric. You'll need access to a Fabric-enabled workspace (available through Microsoft Fabric trials, organizational licenses, or pay-as-you-go capacity) to complete the practical exercises.

This program prepares you for roles such as Microsoft Fabric Analytics Engineer, Data Engineer, BI Developer, and Analytics Engineer. The skills align with CB2-level (skilled professional) positions requiring hands-on Fabric implementation experience. Completers will be well-positioned for Microsoft Fabric-related certifications including DP-600.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.