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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

Define key columns in queries

One of the most important aspects of a relational database is defining key columns. The key columns are the columns used to define a relationship between two tables. The key column(s) in a table guarantees the uniqueness of each row of data. The key column guaranteeing the uniqueness of each row within a table is the primary key. The primary key of a table appearing in another table is called a foreign key. In many cases, a single column does not guarantee the uniqueness of rows, but the so-called Composite Key does by considering multiple columns as key columns. The xVelocity engine in the data model layer, as we discuss in more detail in Chapter 8, Data Modeling Components, does not support composite keys, but the Power Query engine does. By defining the key columns in the Power Query Editor, we get some performance gains in refreshing the data, especially when merging two tables. We discussed merging tables in Chapter 5, Common Data Preparation Steps...

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