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

Cover Page
Title Page
Copyright Page
Dedication Page
About the Author
About the Reviewer
Acknowledgements
Preface
Errata
Table of Contents
1. Introduction to Digital transformation
    Structure
    Understanding the digital transformation
    Organizational digital evolution
        Transformation to the digital age
        Employees should be empowered
        Products and services are being transformed
        Streamline your processes
        Exceed the expectations of the customer
    Microsoft Power Platform
        How to become a citizen developer?
    Microsoft Dataverse for Teams
    Conclusion
2. Microsoft Dataverse for Teams: An Overview
    Structure
    Microsoft Dataverse for Teams: An overview
        Changing data
    Exploring the Potential of Power Apps
    Exploring the potential of Automation
    Exploring the potential of Virtual Agents
    Data Connectors: An overview
    Conclusion
3. Using Microsoft Dataverse for Teams to Create Your First App
    Structure
    Getting dstarted
    Data modeling for applications
    Introducing the Power Apps build Hub in Teams
    Creating a Dataverse table
    Creating your very first app
        Examining the app’s components
            Controls are being unlocked
        Details on the variables
    Changing the app’s appearance
    Conclusion
4. Adding Images, Screens, and File Attachments to Your App
    Structure
    Analytics and application versions
    Adding multiple screens to your application
    Creating a connection between the tables
    Images and related records can be added to your application
    Conclusion
5. Understanding Microsoft Dataverse
    Structure
    Uncovering layers of Microsoft Dataverse
    Layer of storage
        Data with a relationship
        File data
            Key:Value data
    Using Microsoft Dataverse for IoT data
    Metadata layer
        Schema
    Common data model
        Data catalog
    Compute layer
        Business logic
            Rules of business
            Workflows
            Use Microsoft Power Automate Flow to automate workflows
            Plugins
        Data integration
            Data Sync
            Data export
            Reporting
        Application Programming Interface (API)
        OData
        SOAP
            REST API + Connector
    Security in Microsoft Dataverse
        Authorization
        Privilege
        Roles/groups
            Authentication
            Auditing
    Lifecycle management
    Sandbox environment (dev/test instances)
    Solutions and packages
    Environment management operations
        Copy
        Reset
        Backup
        Restore
        Diagnostics
    Privacy and compliance
    If you’re thinking about upgrading from Dataverse for Teams to Dataverse
        Capabilities
        Capacity
        Licensing implications
    Conclusion
6. Automating using Microsoft Dataverse for Teams
    Structure
    Flows can be automated using Power
    Building an Automated flow
    Building a Scheduled Flow
    Conclusion
7. Creating Effective Virtual Agents Bots for Teams using Microsoft Dataverse
    Structure
    Understanding PVA bots
    Creating a topic for PVA bot
        Trigger phrases
    Adding flows to PVA bot
        Variable-related actions
    Publishing the PVA bot
    Conclusion
8. Managing the Application Life Cycle and the Application Life Cycle in the Environment
    Structure
    Understanding environments
        Production environment
        Sandbox environment
        Default environment
        Trial environment
        Developer environment
        Microsoft Dataverse for Teams
    Power Platform Admin Center
    Environment Lifecycle Operations
        Environment backup and restore
        Environment delete
        Environment copy
        Environment reset
            Remarks on Team environments
    Application Lifecycle Management
        Solutions
            Solution components
            Exporting components
            Importing components
            Solution publisher and prefix
    Conclusion
9. Microsoft Dataverse Environment Upgrade
    Structure
    Upgrade to Microsoft Dataverse
        Capacity
        Capabilities
            Licensing
            Control
    Upgrade process
    Conclusion
10. Security and Governance to Ensure Enterprise Readiness
    Structure
    Creating a Dataverse security framework for teams
        Encryption
        Data backups
        Least privilege model
    Configuring different roles in Dataverse for Teams
        Understanding standard roles
            Owner
            Member
            Guest
            Guest access
        In a Dataverse for Teams environment, adding typical roles
        Additional roles in Dataverse for Teams environments should be understood
            Global admin (Power Platform admin)
            Colleagues with access
    For Teams, understanding governance in the Dataverse
        Architecture
        Security
        Custom connectors
    Auditing or monitoring
        Activity logging and auditing
        Actions based on Auditing or Monitoring
    Conclusion
11. Microsoft Dataverse and Dataverse for Teams licensing
    Structure
    Licensing for Power Platform
        Office 365 versus Microsoft 365
            Free Tier
    Licensing for Microsoft Dataverse for Teams
    Licensing after upgrading to Microsoft Dataverse
        Environment and application lifecycle
            Capacity entitlements
            Client access
            Data options
            Advanced security
            Data integration and reporting
            Pro-Dev features
    Conclusion