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Expert Data Modeling with Power BI, Second Edition

You're reading from   Expert Data Modeling with Power BI, Second Edition Enrich and optimize your data models to get the best out of Power BI for reporting and business needs

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246246
Length 698 pages
Edition 2nd 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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Toc

Table of Contents (22) Chapters Close

Preface 1. Section I: Data Modeling in Power BI
2. Introduction to Data Modeling in Power BI FREE CHAPTER 3. Data Analysis eXpressions and Data Modeling 4. Section II: Data Preparation in Query Editor
5. Data Preparation in Power Query Editor 6. Getting Data from Various Sources 7. Common Data Preparation Steps 8. Star Schema Preparation in Power Query Editor 9. Data Preparation Common Best Practices 10. Section III: Data Modeling
11. Data Modeling Components 12. Star Schema and Data Modeling Common Best Practices 13. Section IV: Advanced Data Modeling
14. Advanced Data Modeling Techniques 15. Row-Level and Object-Level Security 16. Dealing with More Advanced Data Warehousing Concepts in Power BI 17. Introduction to Dataflows 18. DirectQuery Connections to Power BI Datasets and Analysis Services in Composite Models 19. New Options, Features, and DAX Functions 20. Other Books You May Enjoy
21. Index

Star Schema and Data Modeling Common Best Practices

In the previous chapter, we learned about data modeling components in Power BI Desktop, including table and field properties. We also learned about featured tables and how they make dataset tables accessible across an organization. We then learned how to build summary tables with DAX. We also 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
  • Avoiding 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 Modeling Common Best Practices...

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