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