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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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Toc

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 2: Data Analysis eXpressions and Data Modeling

We covered in the previous chapter that Power BI has different layers: data preparation, data modeling, and data visualization. This chapter discusses Data Analysis eXpressions (DAX), and it relates to data modeling. Although data modeling and DAX are connected such that you cannot imagine one without the other, our goal in this book is not to focus only on DAX. Data modeling encompasses much broader concepts, while DAX is the expression language that developers must use to implement business logic in the data model. Our assumption in this book is that you have basic to intermediate knowledge of DAX; therefore, we will not cover basic DAX concepts. Instead, we will focus on more advanced DAX concepts with hands-on scenarios.

This chapter covers the following topics:

  • Understanding virtual tables
  • Relationships in virtual tables
  • Time intelligence
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