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Optimizing Data Models and Performance in Microsoft Fabric

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Packt

Optimizing Data Models and Performance in Microsoft Fabric

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Optimize Power BI and Fabric data models for performance, storage, and scalability

  • Implement semantic model refresh and security strategies in Microsoft Fabric

  • Deploy robust, efficient BI solutions aligned with organizational performance goals

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Recently updated!

May 2026

Assessments

5 assignments

Taught in English

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There are 5 modules in this course

This module introduces the architecture and core components of Microsoft Fabric, highlighting its integration with Power BI and data storage solutions like Lakehouse and Data Warehouse. Learners will explore how semantic models are automatically generated and how to build them using Direct Lake connectivity. By the end, you'll understand how Fabric supports modern data analytics workflows.

What's included

1 video6 readings1 assignment

This module explores various methods for refreshing semantic models in Power BI, including full and incremental refresh strategies. Learners will gain hands-on experience using XMLA endpoints and decision trees to select the most efficient refresh approach for different scenarios. Practical guidance is provided for managing large datasets and optimizing refresh operations.

What's included

1 video5 readings1 assignment

This module guides learners through essential techniques for optimizing Power BI semantic models, including best practices for column and relationship design. Learners will explore powerful tools like VertiPaq Analyzer, Tabular Editor, and Performance Analyzer to diagnose and enhance report performance. Practical strategies for connector selection, streaming operations, and DAX optimization are also covered to ensure efficient and responsive Power BI solutions.

What's included

1 video8 readings1 assignment

This module explores essential strategies for securing semantic models in Power BI, focusing on user access control and data residency considerations. Learners will gain practical knowledge on configuring security settings and understanding how data storage locations impact compliance and governance.

What's included

1 video2 readings1 assignment

This module guides learners through the process of deploying Power BI solutions, including the use of deployment pipelines and Git integration for streamlined change management. Participants will explore best practices for report development, environment management, and leveraging Azure DevOps for version control. By the end, learners will be equipped to efficiently publish and manage Power BI artifacts in organizational settings.

What's included

1 video6 readings1 assignment

Instructor

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