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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

Modeling data

The modeling of our data is the first aspect of creating a model-driven app. It is imperative that your data structures and relationships are all defined as much as possible. There are many out-of-the-box tables that we can use within our apps; however, these tables become more useful when we start to create our own to meet our specific requirements, as every organization is different. Modeling data in this scenario really means deciding what the high-level data types are, and then identifying the data we need for each type. This method of thinking can then be applied to the creation process.

To walk through the creation process, we will take books as an example. A book has a title, author, editor, publication date, and ISBN.

Creating a table

The first thing we need to create when modeling our data is a table. This is so that we can build the definition of our data and create the rules and artifacts that relate to it.

To create a new table, we need to...

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