Build Power BI reports that are fast, scalable, and maintainable — with models designed like a pro.
Learn how real analysts shape models for performance, accuracy, and business relevance.
Master the art of star schemas, historical tracking, time intelligence, and complex granularity.
Course Overview
Behind every high-performing Power BI report is a solid, scalable data model. This 3-day instructor-led workshop teaches creators how to build optimized, sustainable models that support meaningful, accurate insights — even in complex analytical environments.
Covering real-world scenarios like multiple fact tables, date dimensions, slowly changing dimensions, and many-to-many relationships, this course helps participants overcome common modeling pitfalls. You’ll learn to move beyond just connecting tables — and start building models that anticipate business needs and scale across reporting scenarios.
With hands-on labs and conceptual breakdowns, this workshop prepares Power BI creators to confidently handle complexity, reduce ambiguity, and build trust in their data.
Learning Objectives
Data modeling principles for Power BI
Star schema design and normalization vs. denormalization
Building multiple fact tables and handling ambiguity
Creating and using custom date dimensions
Modeling slowly changing and snapshot data
Analyzing date intervals and event duration
Managing many-to-many relationships
Granularity optimization and filter propagation
Currency modeling and reporting at multiple levels
Static and dynamic segmentation modeling
Who Should Attend
Power BI report authors with data modeling responsibilities
BI professionals seeking to optimize large or complex reports
Data analysts working with financial, inventory, or historical data
Anyone needing to scale their Power BI models beyond basic connections
Prerequisites
Familiarity with Power BI and basic data modeling concepts
Prior experience with Power Pivot or Tabular models is helpful but not mandatory
Course Modules
Module 1: Data Modeling Fundamentals
Understand data modeling limits, star schemas, relationships, and normalization techniques.
Module 2–3: Header/Detail & Multiple Fact Tables
Design models with proper filtering logic, avoid bidirectional traps, and manage multiple fact tables.
Module 4: Working with Date and Time
Build custom date tables, manage multiple date relationships, handle working days and special periods.
Module 5–6: Historical Tracking & Snapshots
Model slowly changing dimensions, non-additive measures, and inventory scenarios using snapshot tables.
Module 7: Interval Analysis
Measure durations, model active events, and compute metrics over time-based intervals.
Module 8: Many-to-Many Relationships
Explore DAX functions like CROSSFILTER and advanced filtering for resolving M2M ambiguity.
Module 9: Granularity Management
Model reports with different levels of detail, budget vs. actuals, and optimize slicer/filter behavior.
Module 10–11: Segmentation & Currency Modeling
Implement Pareto and ABC segmentation, handle multi-currency reporting, and conversion logic.
Professional Outcomes
Graduates are equipped for roles such as Power BI Data Modeler, BI Solutions Architect, or Advanced Report Developer — responsible for creating scalable, accurate, and high-performing data foundations.
Certification Details
No specific exam for this course
Frequently Asked Questions
Is this course suitable for beginners in Power BI?
No. This course is intended for users who already understand basic data modeling in Power BI or Power Pivot.
Will I learn how to handle multiple fact tables?
Yes. The course covers scenarios involving multiple facts and how to manage filter propagation.
Are date table strategies covered in detail?
Yes. You will build custom date tables and handle multiple date columns and relationships.
Does the course address performance issues in models?
Yes. You will learn how to optimize model structure and relationships to improve performance.
Are labs included for hands-on practice?
Yes. Each module includes lab activities that reinforce key modeling concepts.
Can I apply these techniques to existing reports?
Yes. Techniques taught are designed to refactor and enhance real-world models.
Is DAX required before attending this course?
No. Basic DAX knowledge is helpful, but the course focuses on data modeling rather than calculations.
Is this HRDC claimable?
Yes. The course is HRD Corp claimable for eligible Malaysian employers.
Can I request this course for a corporate group?
Yes. GemRain offers private team sessions both online and on-site.
Will I receive a certificate of completion?
Yes. You will receive an official GemRain certificate upon successful completion of the training.