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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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Toc

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

Who this book is for

If you are a Power BI user who wants to learn how to design and build effective data models for your reports and dashboards, this book is for you. Whether you are a beginner or an advanced user, you will find practical and useful tips and techniques to improve your data modeling skills and solve common challenges. You will also learn how to apply best practices and optimize your data model performance. This book is suitable for anyone who works with data and wants to leverage the power of Power BI to create insightful and interactive data visualizations. This book is also ideal for data analysts, business analysts, and BI professionals who have a basic understanding of Power BI and want to learn advanced data modeling techniques to design scalable and optimized data models for their business needs. Additionally, the book may also be beneficial to database developers and data engineers who want to learn how to integrate Power BI into their data architecture and create efficient data models for their organization.

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