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Microsoft Power BI Data Analyst Certification Guide

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

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803238562
Length 398 pages
Edition 1st Edition
Languages
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Authors (2):
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Edward Corcoran Edward Corcoran
Author Profile Icon Edward Corcoran
Edward Corcoran
Orrin Edenfield Orrin Edenfield
Author Profile Icon Orrin Edenfield
Orrin Edenfield
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Table of Contents (25) Chapters Close

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

Chapter 7: Creating Measures Using DAX

Once you have connected to your data, done a bit of analysis, and organized it for reporting, the next step is to create a data model.

A good data model will provide faster and more accurate reporting. If the data model is easy to understand, report developers will take less time to generate reports and it will make those reports easier to maintain. The data model is a crucial component of any Power BI solution, so ensuring you have effective and efficient use of measures will be a key factor. In this chapter, we will take a deep dive into the powerful Data Analysis Expressions (DAX) programming language, which will unlock dynamic and useful capabilities for solving reporting challenges.

In this chapter, we will cover the following topics:

  • Building complex measures with DAX
  • Using CALCULATE to manipulate filters
  • Implementing time intelligence using DAX
  • Replacing numeric calculated columns with measures
  • Using basic...
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