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Expert Data Modeling with Power BI

You're reading from   Expert Data Modeling with Power BI Get the best out of Power BI by building optimized data models for reporting and business needs

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781800205697
Length 612 pages
Edition 1st Edition
Languages
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Author (1):
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Soheil Bakhshi Soheil Bakhshi
Author Profile Icon Soheil Bakhshi
Soheil Bakhshi
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Data Modeling in Power BI
2. Chapter 1: Introduction to Data Modeling in Power BI FREE CHAPTER 3. Chapter 2: Data Analysis eXpressions and Data Modeling 4. Section 2: Data Preparation in Query Editor
5. Chapter 3: Data Preparation in Power Query Editor 6. Chapter 4: Getting Data from Various Sources 7. Chapter 5: Common Data Preparation Steps 8. Chapter 6: Star Schema Preparation in Power Query Editor 9. Chapter 7: Data Preparation Common Best Practices 10. Section 3: Data Modeling
11. Chapter 8: Data Modeling Components 12. Chapter 9: Star Schema and Data Modeling Common Best Practices 13. Section 4: Advanced Data Modeling
14. Chapter 10: Advanced Data Modeling Techniques 15. Chapter 11: Row-Level Security 16. Chapter 12: Extra Options and Features Available for Data Modeling 17. Other Books You May Enjoy

Chapter 9: Star Schema and Data Modeling Common Best Practices

In the previous chapter, we learned a lot about data modeling components in Power BI Desktop, including table and field properties. We also learned about the feature tables and how they make a table from our data model accessible across the organization. We then learned how to build summary tables with DAX. Then we looked at the relationships in more detail; we learned about different relationship cardinalities, filter propagation, and bidirectional relationships. In this chapter, we look at some star schema and data modeling best practices, including the following:

  • Dealing with many-to-many relationships
  • Being cautious with bidirectional relationships
  • Dealing with inactive relationships
  • Using configuration tables
  • Avoiding calculated columns when possible
  • Organizing the model
  • Reducing model size by disabling auto date/time

In this chapter, we use the Chapter 9, Star Schema and Data...

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