Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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

Organizing the model

There are usually several roles involved in a Power BI project in real-world enterprise BI scenarios. From a Power BI development perspective, we might have data modelers, report writers, quality assurance specialists, support specialists, and so on. The data modelers are the ones who make the data model available for all other content creators, such as report writers. So, making a model that is as organized as possible is essential. This section looks at several ways to organize our data models.

Hiding insignificant model objects

One way to keep our model tidier is to hide all insignificant objects from the data model. We often have some objects in the data model that are not used elsewhere. However, we cannot remove them from the data model as we may require them in the future. So, the best practice is to hide all those objects unless they are going to serve a business requirement. The following sections discuss the best candidate objects for hiding...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}