You're reading from Microsoft Power BI Data Analyst Certification Guide A comprehensive guide to becoming a confident and certified Power BI professional

Product type Paperback

Published in Jun 2022

Publisher Packt

ISBN-13 9781803238562

Length 398 pages

Edition 1st Edition

Languages

DAX

Tools

Power BI

Concepts

IT Certification

Authors (2):

Edward Corcoran

Orrin Edenfield

View More author details

Table of Contents (25) Chapters

Preface

1. Part 1 – Preparing the Data

2. Chapter 1: Overview of Power BI and the PL-300 Exam FREE CHAPTER

3. Chapter 2: Connecting to Data Sources

4. Chapter 3: Profiling the Data

5. Chapter 4: Cleansing, Transforming, and Shaping Data

6. Part 2 – Modeling the Data

7. Chapter 5: Designing a Data Model

8. Chapter 6: Using Data Model Advanced Features

9. Chapter 7: Creating Measures Using DAX

10. Chapter 8: Optimizing Model Performance

11. Part 3 – Visualizing the Data

12. Chapter 9: Creating Reports

13. Chapter 10: Creating Dashboards

14. Chapter 11: Enhancing Reports

15. Part 4 – Analyzing the Data

16. Chapter 12: Exposing Insights from Data

17. Chapter 13: Performing Advanced Analysis

18. Part 5 – Deploying and Maintaining Deliverables

19. Chapter 14: Managing Workspaces

20. Chapter 15: Managing Datasets

21. Part 6 – Practice Exams

22. Chapter 16: Practice Exams

23. Other Books You May Enjoy

Appendix: Practice Question Answers

Power BI dataflows

As data needs change, Power BI continues to adapt to those needs to help organizations understand and use their data to meet continuously changing market demands. Dataflows are a capability in Power BI that empowers Power BI users to perform self-service data preparation, which is sometimes a necessary component of the end-to-end reporting and analytics solution.

Figure 2.3 – Visual representation of how Power BI dataflows work with other Power BI assets and content

Like other data transformation tools, Power BI dataflows connect to disparate data sources and then perform a transformation on the data before it gets used as a Power BI dataset. This is useful when an organization wants to prevent report developers from needing to access the underlying data sources directly (potentially for security or performance reasons). Dataflows also enable the capability of optimizing data transformation that might always need to take place in order...