Session 4: Data Modelling (Star Schema & Relationships) | Fact vs Dimension, Model optimization |

Welcome to Session 4 of the PL-300 Power BI Certification Masterclass! 🧩

In this session, we explore one of the most important topics for the PL-300 exam — Data Modeling in Power BI.

Here’s what you’ll learn step-by-step 👇
✅ Understanding Star Schema vs Snowflake Schema
✅ Difference between Fact and Dimension tables
✅ Creating and managing relationships (one-to-many, many-to-one)
✅ Handling bidirectional filter context
✅ Model optimization for performance – using measures, summarization & hierarchies
✅ Power BI best practices for clean, efficient, and scalable models

💡 Pro Tip: Strong modeling skills improve your DAX performance and overall report responsiveness — crucial for both exam success and real-world analytics.

Session 1 - Thodupunuri Bharath
Linkedin : https://www.linkedin.com/in/thodupunuri-bharath

Session 2 - Harsha Keerthi Kurra
Linkedin - https://www.linkedin.com/in/harshakeerthi-kurra-62b081153

Session 3 - P Yoshitha Reddy
Linkedin - https://www.linkedin.com/in/pyoshithareddy

Session 4 - Pankaj Namekar
Linkedin - https://www.linkedin.com/in/pankajnamekar

Session 5 - Amit Chandak
Linkedin - https://www.linkedin.com/in/amitchandak78

Session 6 - Santhana Lakshmi Ponnurasan
Linkedin - https://www.linkedin.com/in/santhanalakshmip

📌 Perfect for:

PL-300 aspirants preparing for the exam
BI Developers & Data Analysts building scalable Power BI models
Excel & SQL users transitioning to Power BI
🎯 Let’s master the art of Power BI data modeling and build smarter reports!

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Видео Session 4: Data Modelling (Star Schema & Relationships) | Fact vs Dimension, Model optimization | канала Bharath.Insights