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Expert Data Modeling with Power BI - Second Edition

You're reading from  Expert Data Modeling with Power BI - Second Edition

Product type Book
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246246
Pages 698 pages
Edition 2nd Edition
Languages
Author (1):
Soheil Bakhshi Soheil Bakhshi
Profile icon Soheil Bakhshi

Table of Contents (22) Chapters

Preface 1. Section I: Data Modeling in Power BI
2. Introduction to Data Modeling in Power BI 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

Data Preparation in Query Editor

In this section, you will learn how to prepare efficient data models in Query Editor. This section is all about transitioning from theory to reality. It will explain one of the most important aspects of data modeling, which is data preparation.

Not everyone has the luxury of having a pre-built data warehouse; therefore, it is important to know how to build dimensions and facts in Query Editor. Power BI leverages the power of Power Query in Query Editor, so this chapter quickly introduces the Power Query language from a data modeling perspective and then explains how to make all components needed in the star schema available for use in the data model layer in Power BI.

We will explain different techniques in data modeling along with real-world, hands-on scenarios. We will also discuss common pitfalls that can easily turn building a simple report into a nightmare and ways to avoid falling into those traps.

This section comprises the following...

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