Digital transformation with dataverse: Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform

Microsoft Dataverse for Teams is a low-code data platform built into Microsoft Teams that allows anybody to create and deploy apps, processes, and intelligent chatbots utilizing Power Apps, Power Automate, and Power Virtual Agents (PVA).



You will be able to construct apps using step-by-step instructions for building up Teams, generating tables to hold data, and leveraging the data for your digital solutions without having to learn any coding languages. You'll be able to create your first app with Dataverse for Teams in under an hour if you follow the ideas in the book. You will learn how to use Power Automate and Power Virtual Agents to automate repetitive processes and create alerts.

As you gain experience constructing these digital solutions, you'll be able to tell when it's time to upgrade from Dataverse for Teams to Dataverse, which includes more advanced features. Finally, you will learn about the administration and governance aspects of Microsoft Dataverse for Teams and PowerApps, as well as the license needs.



By the end of the book, you will have acquired the skills necessary to build and implement an enterprise-grade digital solution. The readers will be prepared to lead a digital revolution in your organization.




TABLE OF CONTENTS

1. Introduction to Digital transformation

2. Exploring Microsoft Dataverse for Teams

3. Using Microsoft Dataverse for Teams to Create Your First App

4. Adding Images, Screens, and File Attachments to Your App

5. Understanding Microsoft Dataverse

6. Automating using Microsoft Dataverse for Teams

7. Creating Effective Virtual Agents Bots for Teams using Microsoft

Dataverse

8. Managing the Application Life Cycle and the Application Life Cycle in the

Environment

9. Microsoft Dataverse Environment Upgrade

10. Security and Governance to Ensure Enterprise Readiness

11. Microsoft Dataverse and Dataverse for Teams licensing