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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

Appreciate case sensitivity in Power Query

As explained before, Power Query is case-sensitive. Case sensitivity is not just about the Power Query syntax; string data types in opposite cases are not equal in Power Query. So it is essential to pay attention to character cases when working with string data. When we mash up data from different sources, we often have GUIDs as key columns (either a primary or a foreign key). We get incorrect results if we compare the GUID values with different cases. For instance, in Power Query, the following values are not equal:

  • C54FF8C6-4E51-E711-80D4-00155D38270C
  • c54ff8c6-4e51-e711-80d4-00155d38270c

Therefore, if we merge two tables joining the key columns, we get weird results. It is also the case if we load the data into the data model and create a relationship between two tables with key columns in different character cases. The solution is simple; we only need to keep both key columns in the same character case using either...

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