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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Merging queries

The Merge Queries functionality is one of the other common transformation operations we may use in Power Query. The merge queries functionality is useful when you want to denormalize snowflakes and absorb the data that's stored in different tables into one table. Power Query uses one of the following functions behind the scenes when we use Merge Queries from the Power Query Editor UI, depending on the matching type we select via the UI. This can be seen in the following screenshot:

Figure 5.37 – Merging queries via the UI uses different Power Query functions, depending on the matching type

If we do not tick the Use fuzzy matching to perform the merge box, then the following function will be generated by the Power Query Editor:

Table.NestedJoin(FirstTable as table, KeyColumnofFirstTable as any, SecondTable as any, KeyColumnofSecondTable as any, NewColumnName as text, optional JoinKind as nullable JoinKind.Type)

Otherwise, the...