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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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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

Organizing the model

There are usually several roles involved in a Power BI project in real-world enterprise BI scenarios. From a Power BI development perspective, we might have data modelers, report writers, quality assurance specialists, support specialists, and so on. The data modelers are the ones who make the data model available for all other content creators, such as report writers. So, it is essential to make a model that is as organized as possible. In this section, we look at several ways to organize our data models.

Hiding insignificant model objects

One of the essential ways to keep our model tidier is to hide all insignificant objects from the data model. In many cases, we have some objects in the data model that are not used anywhere else. However, we cannot remove them from the data model as we may require them in the future. So, the best practice is to hide all those objects unless they are going to serve a business requirement. In the following few sections,...

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