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

Understanding fields

Fields in Power BI include columns and measures. We generally refer to both columns and measures when we talk about fields. For instance, when we talk about fields’ data types, we refer to the data types for both columns and measures. The Fields term is used within Power BI Desktop in different views, so there is a Fields pane in the Report view, the Data view, and the Model view.

Data types

When we import data into the model, the model converts that data, in columns, into one of the Tabular Model data types. When we then use the model data in our calculations, the data is converted into a DAX data type for the duration of the calculation. The model data types are different from Power Query data types. For instance, in Power Query, we have DateTimeZone. However, the DateTimeZone data type does not exist in the data model, so it converts into DateTime when it loads into the model. The following table shows the different data types supported in the...