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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 FREE CHAPTER 2. Preparing Data Sources 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 reviewed the features and processes applicable to administering Power BI for an organization. These included the configuration of tenant settings in the Power BI admin portal, analyzing the usage of Power BI assets, and monitoring overall user activity via the Microsoft 365 audit logs. Additionally, important administrative capabilities of Azure Active Directory, such as conditional access policies and external guest users, were also described.

The following chapter looks at the options for scaling Power BI to support increased user adoption, larger datasets, and enterprise BI solutions through the use of Premium capacities. This includes methodologies for allocating Power BI Premium capacity to workloads, leveraging the additional benefits of Power BI Premium, and other activities related to using Power BI at scale.

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