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Intermediate Data Modeling in Power BI
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Extend your Data Modelling Skills
In this course, you’ll extend your knowledge about facts, dimensions, and their relationships. You learn about the cardinality of relationships and how you can use bi-directional cross-filtering in your model.Use DAX to Customize your Data Model
You’ll also explore the use of quick measures and hierarchies and write DAX to fully customize your data model. Finally, you’ll get introduced to Power BI reporting best practices to improve the performance of your reports.Prerequisites
Data Modeling in Power BIDate Dimensions and Relationships
Granularity, Measures, and Hierarchies
Advanced Data Modeling
Identifying Performance Problems
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FAQs
What prior knowledge do I need for this course?
This course builds on introductory data modeling concepts like star schemas, facts, and dimensions. Familiarity with the Data Modeling in Power BI course or equivalent experience is recommended.
What advanced data modeling topics are covered?
You will learn about relationship cardinality, bi-directional cross-filtering, role-playing dimensions, composite key relationships, hierarchies, and report performance optimization.
Will this course help me improve the performance of my Power BI reports?
Yes. Chapter 4 focuses on identifying performance problems and covers optimization techniques, including choosing the right data types, comparing calculated versus computed columns, and alternatives to bi-directional filtering.
Who will benefit from this course?
Power BI users who already understand basic star schemas and want to build more complex, high-performing data models with advanced relationships and hierarchies.
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