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

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781803246246

Length 698 pages

Edition 2nd Edition

Languages

DAX

Tools

Power BI

Concepts

Business Intelligence

Author (1):

Soheil Bakhshi

View More author details

Table of Contents (22) Chapters

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

Consider loading a proportion of data

A general rule of thumb with all kinds of data sources is only to keep relevant columns during data preparation. We need to pay more attention to it when dealing with API-based data sources, as the available resources are usually pretty limited. For instance, when connecting to a data source stored in a SharePoint Online folder, we get throttled when we hit the 25 requests per second limit. Another common data source that we have to be more careful with is Open Data Protocol (OData). Microsoft invented OData, a commonly accepted method for creating and consuming REST APIs. Many Enterprise Resource Planning (ERP) systems are accessible via OData. When loading data via an OData connection into Power BI, it is essential to pay extra attention to the amount of data being loaded. In many cases, the underlying data model has wide tables with many columns containing metadata that is not necessarily needed.

Power BI reports brought production systems...