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

Optimizing measures, relationships, and visuals

Measures in Power BI are driven by DAX queries. To optimize DAX queries (and measures), we must understand how Power BI uses both a Formula Engine (FE) and an SE, which make up the backend technology. Simply put, the SE is where imported data is stored in the highly compressed columnar VertiPaq format, and the FE is where data can be calculated based on the requirements in DAX queries.

The SE provides a single interface for the FE to query and retrieve data. It functions to store data or provide a conduit for underlying data stores in cases where data is connected using DirectQuery. The SE is built into Power BI Desktop and is also part of the underlying technology used in SQL Server Analysis Services and Azure Analysis Services.

The FE is the query processor that takes DAX queries as input, interacts with the SE, and then returns data to Power BI visuals in reports and dashboards. The FE does not have direct access to every kind...