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Learn Microsoft Power Apps

You're reading from   Learn Microsoft Power Apps The definitive handbook for building solutions with Power Apps to solve your business needs

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781801070645
Length 702 pages
Edition 2nd Edition
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Authors (2):
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Elisa Bárcena Martín Elisa Bárcena Martín
Author Profile Icon Elisa Bárcena Martín
Elisa Bárcena Martín
Matthew Weston Matthew Weston
Author Profile Icon Matthew Weston
Matthew Weston
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Toc

Table of Contents (27) Chapters Close

Preface 1. Introducing Power Apps FREE CHAPTER 2. Creating Your First Canvas Power App 3. Creating Apps in SharePoint 4. Publishing and Leveraging in Power Apps 5. Exploring Controls 6. Exploring Formulas 7. Exploring Reusable Controls 8. Working with Data 9. Introducing Connectors 10. Using GPS in Power Apps 11. Working with Images and Barcodes 12. Securing Your Power Apps 13. Working Offline 14. Using Power Automate with Power Apps 15. Using Azure with Power Apps 16. Visualizing Data 17. Introducing Artificial Intelligence 18. Introducing Microsoft Dataverse 19. Introducing Model-Driven Apps 20. Creating Model-Driven Apps 21. Exploring Environments and Data Policies 22. Introducing the Future of Power Apps 23. Good Practices for Creating Power Apps 24. Other Books You May Enjoy
25. Index
Appendix

Introducing Microsoft Dataverse

We have already mentioned Microsoft Dataverse in past chapters, but we have not yet expanded all the features that this data storage offers us. During this chapter, we will not deal as much with Power Apps, but we will provide a solid background so that in the next two chapters we can learn how to make model-driven applications.

In November 2020, Microsoft announced that the Common Data Service (CDS) would be rebranded, changing its name to Dataverse. From then until now a lot of changes have been implemented, but to give more insights into it, we must first know what Dataverse offers us.

Microsoft Dataverse is a low-code relational database that allows users to work with data models and store their data in a scalable and secure environment, without requiring advanced technical knowledge. Among all the utilities of Dataverse for companies, examples that stand out are the abilities to establish automatic workflows and to create applications in...

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