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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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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

Managing Workspaces and Content

The preceding six chapters have focused on the design and development of Power BI datasets, reports, and dashboards. While the creation of impactful and sustainable content is essential, this chapter reviews the processes and features IT organizations can leverage to manage and govern this content through project life cycles and ongoing operational support.

These features include the planning and use of workspaces in the Power BI service, staged deployments between test and production environments, and maintaining version control of Power BI Desktop files. Additional features and practices highlighted in this chapter include data classification for dashboards, documenting Power BI datasets, and utilizing the Power BI REST API to automate and manage common processes.

In this chapter, we will review the following topics:

  • Workspaces
  • Staged deployments
  • Dashboard data classifications
  • Version control
  • Metadata management...
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