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

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781800205697

Length 612 pages

Edition 1st Edition

Languages

DAX

Tools

Power BI

Concepts

Data Analysis

Author (1):

Soheil Bakhshi

View More author details

Table of Contents (18) Chapters

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

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To get the most out of this book

You will need to download and install the latest version of Power BI Desktop. All expressions have been tested in the March release of Power BI Desktop and will work in the later versions released on later dates. In addition to Power BI Desktop, you will need to install and use DAX Studio and Tabular Editor.

Note

Since January 31, 2021, Power BI Desktop is no longer supported on Windows 7.

In some chapters, you may need to have a Power BI Service account. You can sign up for a Power BI Service as an individual. Read more here: https://docs.microsoft.com/en-us/power-bi/fundamentals/service-self-service-signup-for-power-bi?WT.mc_id=5003466.

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

This book assumes that you are familiar with data warehousing and star schema terminology . However, the book tries to give a brief explanation of some terminologies when required.