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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
Author Profile Icon Brett Powell
Brett Powell
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Toc

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

Summary

This chapter introduced paginated reports for Power BI both within the Power BI service and on-premises only via the PBRS. While the support of paginated reports in the Power BI service has greatly reduced the need for PBRS in many organizations, there are still use cases where a fully on-premises solution for reporting is required.

Key topics covered in this chapter were migrating Report Description Language (RDL) files to the Power BI service, the feature differences between PBRS and the Power BI service, and the overall planning, scaling, and upgrading of PBRS.

In the next chapter, we focus on the distribution of published content to end users. This includes the delivery and management of packages of related Power BI content to large groups of users via Power BI Apps as well as other content delivery capabilities of the Power BI service such as data-driven alerts and scheduled email subscriptions.

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