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

Define the appropriate level of data granularity

One key way to establish what your report can contain is establishing its granularity, or grain. The grain is the smallest level your report can go to. It is not uncommon for data in a fact table to be stored as a daily or monthly total. If you are storing sales by store by day, you should not divide that number by 24 to get hourly totals. That number implies a degree of certainty that is not actually in the data.

I'm going to present a screenshot from earlier, but this time talk about what we are relating, not how.

Figure 5.17– The grain of the Sales table is product by Region Name and OrderNumber

Here, you can see that our Manager table can filter our Sales table through the Region table, and the other way around: Sales>Region>Manager. If I filter the Manager table by ManagerName, it will filter the Sales table by Region. So, if Ted and Ananya both manage the Midwest region, both will...