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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

Reducing model size by disabling auto date/time

When the data is loaded into the data model, Power BI automatically creates some Date tables to support calendar hierarchies for all columns in DateTime datatype. This feature is convenient, especially for beginners who do not know how to create a Date table or create and manage hierarchies. However, it can consume too much storage, which can potentially lead to severe performance issues. As mentioned earlier, the auto date/time feature forces Power BI Desktop to create Date tables for every single DateTime column within the model. The Date tables have the following columns:

  • Date
  • Year
  • Quarter
  • Month
  • Day

The last four columns are used to create date hierarchies for each DateTime column. The Date column in the created Date table starts from January 1 of the minimum year of the related column in our tables. It ends on December 31 of the maximum year of that column. It is a common practice in data warehousing...

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