3-day Virtual Seminar

Fundamentals of Data Modeling & Relationship Design

Overview

This webinar will train participants on Power BI Data Modeling fundamentals, focusing on how to:

• organize datasets into Fact and Dimension tables
  
• build a clean Star Schema
  
• design correct relationships between tables
  
• manage filter directions
  
• avoid common relationship mistakes
  
• improve accuracy and performance of dashboards

Participants will learn how to build models that are:

• scalable
  
• fast
  
• clean
  
• correct in calculations
  
• ready for DAX and reporting

Why you should Attend

• Do your Power BI numbers change unexpectedly when filters are applied?
  
• Are totals incorrect due to duplicate or wrong relationships?
  
• Is your dashboard slow and heavy?
  
• Do you struggle with one-to-many and many-to-many relationships?
  
• Are slicers not working properly across pages?
  
• Do you want to build professional Power BI dashboards like corporate BI teams?

Areas Covered in the Session

Why Data Modeling is the "foundation" of Power BI reporting

Understanding key concepts:

• Tables, Fields, Keys
  
• Primary key vs Foreign key
  
• Granularity in data

Types of tables in BI:

• Fact table (transactions/records)
  
• Dimension table (master data)

Relationship design:

• One-to-many relationships
  
• Many-to-many relationships (what to avoid + how to handle)
  
• One-to-one relationships (when useful)

Filter directions:

• Single direction vs Both direction
  
• how it impacts slicers and measures

Active vs Inactive relationships

• when it happens
  
• how to manage it

Common real-world modeling mistakes:

• using raw ERP exports directly
  
• duplicate keys / blank keys
  
• mixing master + transaction tables
  
• wrong date table usage

Best practices for a strong model:

• creating a proper Date table
  
• using lookup dimensions
  
• naming conventions
  
• hiding unnecessary columns
  
• keeping model clean & report-friendly

Model performance optimization fundamentals:

• reduce columns
  
• avoid high-cardinality fields
  
• avoid too many-to-many links

Who Will Benefit

• Power BI Developers (Beginners)
  
• MIS Executives shifting to Power BI
  
• Data Analysts / Reporting Analysts
  
• Business Analysts
  
• Finance & Accounts Professionals
  
• HR / Payroll / Operations reporting teams
  
• Dashboard developers
  
• Students preparing for BI/Data jobs