You're reading from Digital Transformation with Dataverse for Teams Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform

Product type Paperback

Published in Oct 2021

Publisher Packt

ISBN-13 9781800566484

Length 298 pages

Edition 1st Edition

Tools

Microsoft Teams

Concepts

Business Management

Author (1):

Srikumar Nair

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Introduction to Microsoft Dataverse for Teams

2. Chapter 1: Introducing Digital Transformation and the Role of Low-Code/No-Code Platform FREE CHAPTER

3. Chapter 2: Exploring Microsoft Dataverse for Teams

4. Chapter 3: Building Your First App with Microsoft Dataverse for Teams

5. Chapter 4: Enhancing Your App with Images, Screens, and File Attachments

6. Section 2: Deep Dive into Microsoft Dataverse for Teams

7. Chapter 5: Understanding Microsoft Dataverse

8. Chapter 6: Automating with Microsoft Dataverse for Teams

9. Chapter 7: Building Power Virtual Agents Bots with Microsoft Dataverse for Teams

10. Section 3: Application and Environment Life Cycle Management

11. Chapter 8: Managing the Application Life Cycle and Environment Life Cycle

12. Chapter 9: Upgrading to Microsoft Dataverse Environment

13. Section 4: Enterprise Readiness and Licensing

14. Chapter 10: Ensuring Enterprise Readiness: Security and Governance

15. Chapter 11: Licensing for Microsoft Dataverse and Dataverse for Teams

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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...