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

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781803246246

Length 698 pages

Edition 2nd Edition

Languages

DAX

Tools

Power BI

Concepts

Business Intelligence

Author (1):

Soheil Bakhshi

View More author details

Table of Contents (22) Chapters

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

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The previous chapter discussed that Power BI has different layers: data preparation, data modeling, and data visualization. This chapter discusses Data Analysis eXpressions (DAX), and their relation 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 developers must use to implement business logic in the data model. We assume that you have an intermediate level of knowledge of DAX; therefore, we...