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Microsoft Power BI Complete Reference

You're reading from   Microsoft Power BI Complete Reference Bring your data to life with the powerful features of Microsoft Power BI

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789950045
Length 794 pages
Edition 1st Edition
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Authors (5):
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Brett Powell Brett Powell
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Brett Powell
Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Brian Knight Brian Knight
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Brian Knight
Devin Knight Devin Knight
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Devin Knight
Manuel Quintana Manuel Quintana
Author Profile Icon Manuel Quintana
Manuel Quintana
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Toc

Table of Contents (25) Chapters Close

Title Page
About Packt
Contributors
Preface
1. Getting Started with Importing Data Options FREE CHAPTER 2. Data Transformation Strategies 3. Building the Data Model 4. Leveraging DAX 5. Visualizing Data 6. Using a Cloud Deployment with the Power BI Service 7. Planning Power BI Projects 8. Connecting to Sources and Transforming Data with M 9. Designing Import and DirectQuery Data Models 10. Developing DAX Measures and Security Roles 11. Creating and Formatting Power BI Reports 12. Applying Custom Visuals, Animation, and Analytics 13. Designing Power BI Dashboards and Architectures 14. Managing Application Workspaces and Content 15. Managing the On-Premises Data Gateway 16. Deploying the Power BI Report Server 17. Creating Power BI Apps and Content Distribution 18. Administering Power BI for an Organization 19. Scaling with Premium and Analysis Services 1. Other Books You May Enjoy Index

Chapter 10. Developing DAX Measures and Security Roles

This chapter will detail the implementation of DAX measures and security roles for the dataset developed in the previous two chapters. First, a set of base measures for each business process are created, representing business definitions such as gross and net sales, cost of sales, and margin percentages. The base measures are then leveraged in the development of date intelligence calculations including year-to-date (YTD) and year-over-year (YOY) growth. Additionally, a set of customs measures are created, including exceptions, rankings, and KPI targets to further extract insights from the dataset and simplify report visualizations.

This chapter will also contain examples of dynamic security models in which the identity of the logged in user is used to filter the dataset. Finally, guidance will be provided on testing the performance of DAX expressions with DAX Studio.

In this chapter, we will review the following topics:

  • DAX measures
  • Filter...
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