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Expert Data Modeling with Power BI, Second Edition

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

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246246
Length 698 pages
Edition 2nd 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 (22) Chapters Close

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

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 the 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, potentially leading 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 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 number of years for that column. It is a common practice in data...

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