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Learn Microsoft Power Apps - Second Edition

You're reading from  Learn Microsoft Power Apps - Second Edition

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781801070645
Pages 702 pages
Edition 2nd Edition
Languages
Authors (2):
Matthew Weston Matthew Weston
Profile icon Matthew Weston
Elisa Bárcena Martín Elisa Bárcena Martín
Profile icon Elisa Bárcena Martín
View More author details

Table of Contents (27) Chapters

Preface 1. Introducing Power Apps 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 Model-Driven Apps

In the previous chapters of this book, we used several data sources that are external to the Power Platform. We are now going to explore how we can use Microsoft Dataverse as a data source that underpins the Power Platform applications and provides a robust, yet simple, method for storing data in a way that feels very similar to creating tables within a database.

We have already learned about canvas apps as we’ve progressed through this book; now, it is time to introduce another kind of Power Apps application: model-driven apps, which have a different look, feel, and editing experience to what we have covered so far. The emphasis switches from the design aspect to the data, meaning that much more work takes place around the data structures before the actual app build begins.

Within this chapter, we will cover the following topics:

  • Understanding Dataverse
  • Understanding the Common Data Model (CDM)
  • Modeling data
  • ...
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