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)
1
Section 1: Introduction to Microsoft Dataverse for Teams
6
Section 2: Deep Dive into Microsoft Dataverse for Teams
10
Section 3: Application and Environment Life Cycle Management
13
Section 4: Enterprise Readiness and Licensing

Uncovering Microsoft Dataverse Layers

Microsoft Dataverse is a data platform that allows you to store and model a variety of data and business logic to support interconnected applications and processes in a secure and compliant manner. As seen in the following diagram, Microsoft Dataverse consists of Storage, Metadata, Compute, Security, and Lifecycle Management components:

Figure 5.1 – Microsoft Dataverse composition

Let's take a quick look at each one of these components and their functionalities.

Storage Layer

The Storage layer consists of different types of storage solutions that cater to different needs and types of data. The types of data storage that are available are Relational data, File storage, and Observational data (also referred to as Key: Value or Log data).

Relational data

Relational data is stored in tables (also previously known as entities) with rows and columns. Relational data also helps you to build relationships...