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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

Naming conventions

It is essential to have naming conventions for Power BI developers and data modelers. It helps with solutions' consistency and makes the code more readable and more understandable for the support specialists. It also sets common ground that everyone across the organization interacting with our Power BI solutions can benefit from.

Data sources do not necessarily have the most user-friendly names. So, it is essential to follow a predefined naming convention during development, which will help the support specialists and contributors create new reports on top of an existing dataset. The following naming convention is suggested:

  • Use camel case for object names including table names, column names, and parameter names.
  • Replace underscores, dashes, hyphens, or dots between the words with space.
  • Remove prefixes and suffixes from table names (such as DimDate becoming Date or FactSales becoming Sales).
  • Use the shortest and most self-explanatory...
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