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Mastering Microsoft Power BI – Second Edition

You're reading from   Mastering Microsoft Power BI – Second Edition Expert techniques to create interactive insights for effective data analytics and business intelligence

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801811484
Length 712 pages
Edition 2nd Edition
Languages
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Authors (2):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
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Brett Powell
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Table of Contents (18) Chapters Close

Preface 1. Planning Power BI Projects 2. Preparing Data Sources FREE CHAPTER 3. Connecting to Sources and Transforming Data with M 4. Designing Import, DirectQuery, and Composite Data Models 5. Developing DAX Measures and Security Roles 6. Planning Power BI Reports 7. Creating and Formatting Visualizations 8. Applying Advanced Analytics 9. Designing Dashboards 10. Managing Workspaces and Content 11. Managing the On-Premises Data Gateway 12. Deploying Paginated Reports 13. Creating Power BI Apps and Content Distribution 14. Administering Power BI for an Organization 15. Building Enterprise BI with Power BI Premium 16. Other Books You May Enjoy
17. Index

Creating Power BI Apps and Content Distribution

This chapter walks through all facets of Power BI apps as the primary method for distributing content to groups of users. Given the current one-to-one relationship between apps and workspaces, you are advised to review Chapter 10, Managing Application Workspaces and Power BI Content, prior to this chapter.

Additional content distribution and consumption methods including email subscriptions, SharePoint Online embedding, data-driven alerts, and Analyze in Excel are also described in this chapter. The distribution methods available in Power BI Report Server and the technical details of integrating Power BI content into custom applications are outside the scope of this chapter.

In this chapter, we will review the following topics:

  • Content distribution methods
  • Power BI apps
  • Sharing content
  • Embedding
  • Data alerts
  • Email subscriptions
  • Analyze in Excel
  • Self-service BI workspaces
  • ...
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