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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

Duplicating and referencing queries

Duplicating and referencing a query are somehow similar. We duplicate a query when we need to have all the transformation steps we already took on the original query. At the same time, we want to change those steps or add some more transformation steps. In that case, we must change the original query's nature, translating it so that it has a different meaning from a business point of view. But when we reference a query, we are referencing the final results of the query. Therefore, we do not get the transformation steps in the new query (the referencing query). Referencing a query is a common way to break down the transformation activities in a more organized way. This is the preferred way of doing data preparation for most Extract, Transformation, and Load (ETL) experts and data warehousing professionals. In that sense, we can do the following:

  • We can have base queries that are connected to the source system that resemble the Extract...
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