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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

Summary


This chapter developed and described several common classes of DAX measures, including date intelligence, dimension metrics, and ranking metrics. These measures utilized the fact and dimension tables accessed in Chapter 8, Connecting to Sources and Transforming Data with M, as well as the data model relationships defined in Chapter 9, Designing Import and DirectQuery Data Models. In addition to detailed measure examples, primary concepts of the DAX including filter context, row context, measure evaluation, and DAX variables were also reviewed. Moreover, examples of standard and DRLS models were shared, and DAX Studio was presented as a tool for testing and tuning DAX.

In the following chapter, Power BI reports will be created which leverage the dataset that has been incrementally developed since Chapter 8, Connecting to Sources and Transforming Data with M. Report-authoring features, such as the visualization types in Power BI Desktop, will access the DAX measures from this chapter...

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