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Customizing Microsoft Teams

You're reading from   Customizing Microsoft Teams Build custom apps and extensions for your business using Power Platform and Dataverse in Microsoft Teams

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781801075381
Length 290 pages
Edition 1st Edition
Languages
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Author (1):
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Gopi Kondameda Gopi Kondameda
Author Profile Icon Gopi Kondameda
Gopi Kondameda
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Microsoft Teams Customization Exploring the Architecture and Components
2. Chapter 1: Introducing Microsoft Teams Apps FREE CHAPTER 3. Chapter 2: Microsoft Teams Apps and Bots 4. Part 2: Microsoft Teams Customization with Tools and Techniques
5. Chapter 3: Microsoft Graph API 6. Chapter 4: Microsoft Teams PowerShell 7. Chapter 5: Microsoft Teams Customization Using the SharePoint Framework (SPFx) 8. Chapter 6: Microsoft Teams Authentication 9. Part 3: Microsoft Teams Customization with Low-Code and No-Code
10. Chapter 7: Microsoft Dataverse for Teams 11. Chapter 8: Microsoft Teams App Templates 12. Chapter 9: Microsoft Viva 13. Chapter 10: Microsoft Teams Third-Party Apps 14. Index 15. Other Books You May Enjoy

Best practices with the Graph API

If you are using the Graph API in your scenario, you must follow some best practices so that you don’t encounter performance issues, making your applications more reliable. In this section, we will talk about a few of them.

Pagination

You may have scenarios that require a Microsoft Graph API call to return multiple pages of data when you issue a query that may require pagination. This could happen either due to server-side paging or the query using the $top query parameter (client-driven pagination) to restrict the number of returned records.

You can review the following link for more details on understanding how you can manage pagination:

https://docs.microsoft.com/en-us/graph/paging

Batching

With batching, you can optimize queries to MS Graph by combining multiple requests into a single request. Batching reduces network latency significantly and consumes lower bandwidth.

You can review the following link for more details...

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