Book Image

Digital Transformation with Dataverse for Teams

By : Srikumar Nair
Book Image

Digital Transformation with Dataverse for Teams

By: Srikumar Nair

Overview of this book

Microsoft Dataverse for Teams is a built-in, low-code data platform for Teams and enables everyone to easily build and deploy apps, flows, and intelligent chatbots using Power Apps, Power Automate, and Power Virtual Agents (PVA) embedded in Microsoft Teams. Without learning any coding language, you will be able to build apps with step-by-step explanations for setting up Teams, creating tables to store data, and leverage the data for your digital solutions. With the techniques covered in the book, you’ll be able to develop your first app with Dataverse for Teams within an hour! You’ll then learn how to automate repetitive tasks or build alerts using Power Automate and Power Virtual Agents. As you get to grips with building these digital solutions, you’ll also be able to understand when to consider upgrading from Dataverse for Teams to Dataverse, along with its advanced features. Finally, you’ll explore features for administration and governance and understand the licensing requirements of Microsoft Dataverse for Teams and PowerApps. Having acquired the skills to build and deploy an enterprise-grade digital solution, by the end of the book, you will have become a qualified citizen developer and be ready to lead a digital revolution in your organization.
Table of Contents (17 chapters)
Section 1: Introduction to Microsoft Dataverse for Teams
Section 2: Deep Dive into Microsoft Dataverse for Teams
Section 3: Application and Environment Life Cycle Management
Section 4: Enterprise Readiness and Licensing

Understanding Data Connectors

Data Connectors are the magic glue that helps you to bind your application, bot, or flow with any data store, including Microsoft Dataverse. These connectors allow citizen developers to connect to hundreds of standard business data stores, such as Adobe, Amazon Redshift, Azure Blob Storage, Azure Data Explorer, Dropbox, IBM DB2, DocuSign, Dynamics NAV, and Salesforce, in addition to social platforms such as Twitter, Facebook, and Instagram. Professional developers can extend this model to build custom connectors to any data platform with public API support. As seen in the following screenshot, you can easily bring in the data from any of these data platforms listed earlier and quickly create low code/no-code applications to interact with this set of data:

Figure 2.10 – List of Data Connectors

With Data Connectors, the citizen developer doesn't need to know the details about the underlying connection mechanisms implemented...