Power Platform Dataverse Course Overview

Power Platform Dataverse Course Overview

The Power Platform Dataverse course is designed to provide learners with comprehensive knowledge and practical skills for creating and managing data within Microsoft's Dataverse environment. It is essential for those looking to build and maintain robust data solutions within the Power Platform ecosystem.

Module 1 focuses on solutions, teaching the difference between managed and unmanaged solutions, and guiding learners through the process of creating and working with Dataverse tables. This foundational knowledge is crucial for setting up a structured and maintainable data model.

Module 2 dives deeper into creating and understanding Columns and relationships. Learners will gain insights into various data types and how to implement relationships effectively to link tables logically.

In Module 3, participants will learn about Forms and views, including how to create and manage them to ensure data is presented and captured in a user-friendly manner.

Module 4 is all about configuring security in Dataverse, where learners are introduced to creating business units, teams, security roles, and implementing column-level and hierarchy security models to protect sensitive data.

Finally, Module 5 covers the creation of Model-driven apps, leveraging the structured data to build powerful applications that can transform business processes.

This course will empower learners to effectively manage data in the Power Platform, ensuring they can contribute to building secure, scalable, and efficient applications.

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Koenig's Unique Offerings

Course Prerequisites

To ensure that you can fully benefit from the Power Platform Dataverse course offered by Koenig Solutions, it is recommended that you have the following minimum prerequisites:


  • Basic understanding of database concepts, including tables, columns, and relationships.
  • Familiarity with the Microsoft Power Platform and its components, such as Power Apps, Power Automate, and Power BI, is beneficial but not mandatory.
  • Some experience with data modeling and design, which will help in comprehending table structures and data types.
  • Knowledge of business processes and how custom applications can support them.
  • Basic proficiency in using Microsoft Office 365 and its applications, especially Excel.
  • An understanding of security concepts, including user roles and permissions, although in-depth expertise is not required.

These prerequisites are meant to provide a foundation upon which the course will build. They are not intended to discourage anyone interested in learning; rather, they aim to prepare you for a successful training experience.


Target Audience for Power Platform Dataverse

The Power Platform Dataverse course provides in-depth training on creating solutions, managing data, and configuring security for IT professionals.


Target Audience for Power Platform Dataverse Course:


  • IT Professionals interested in Data Management
  • Business Analysts
  • Database Administrators
  • Data Scientists
  • Application Developers
  • System Administrators
  • CRM Administrators
  • Solution Architects
  • Security Managers
  • Technical Consultants
  • Power Platform Developers
  • Dynamics 365 Developers and Administrators


Learning Objectives - What you will Learn in this Power Platform Dataverse?

Introduction to the Course Learning Outcomes

This Power Platform Dataverse course empowers students with the skills to effectively utilize Dataverse for building and managing robust data solutions within the Power Platform ecosystem.

Learning Objectives and Outcomes

  • Understand the distinction between managed and unmanaged solutions and their appropriate usage scenarios.
  • Learn about different table types in Dataverse and their specific functions.
  • Gain proficiency in creating and configuring tables, including the use of advanced options.
  • Develop the ability to create custom columns and comprehend the significance of various data types.
  • Understand the concept of relationships in Dataverse and how to establish and manage them effectively.
  • Acquire the skills to create and manage different types of forms, enhancing user interaction and data entry.
  • Learn how to create and customize views to present data in a meaningful and accessible way.
  • Understand the architecture of security in Dataverse, including the creation of business units, teams, and security roles.
  • Master column-level security and the Hierarchy Security model to ensure data protection and proper access control.
  • Gain the knowledge to create a model-driven app that leverages the structured data and relationships defined in Dataverse.

Technical Topic Explanation

Dataverse tables

Dataverse tables, part of Microsoft's Power Platform Dataverse, function as a structured storage model. These tables allow you to securely and efficiently store data used by business applications. Each table holds data in rows and columns, similar to a spreadsheet, which can be used across various apps within the Power Platform ecosystem, supporting uniform data management, business logic, and integration. This makes it easier for organizations to manage and utilize their data within Power Apps, enhancing productivity and facilitating seamless connections between different applications.

Columns and relationships

Columns in the Dataverse Power Platform represent fields within a database table where data is stored. Each column holds a specific type of data, like text, numbers, or dates. Relationships in Power Platform Dataverse define how data in one table is connected to data in another. These relationships help maintain data accuracy and integrity by establishing clear associations between data entities. This setup allows for intricate data interactions and insights, supporting the development of comprehensive business applications on the Power Platform.

Forms and views

Forms in the Power Platform Dataverse are configurable interfaces used for viewing, entering, and modifying data stored within the Dataverse. They help in structuring how the data is displayed to users, making it easier to enter and interact with the information. Views in Dataverse are predefined layouts that organize and present data in an organized table format, allowing users to filter and sort through information effectively. Both forms and views are key components in customizing and streamlining data management processes within the Power Platform Dataverse, enhancing user interaction and productivity.

Model-driven apps

Model-driven apps are a component of Microsoft's Power Platform that emphasize a design approach driven by the underlying data model. Built on the Power Platform's Dataverse, these apps automate processes and streamline tasks without the need for extensive coding. The apps utilize the comprehensive data structure provided by Dataverse to enable businesses to design applications tailored to their operations, optimizing workflows and enhancing efficiency. This approach allows the creation of complex business applications using a high-level design interface, where the user defines the data and workflow, and the system generates the app.

Target Audience for Power Platform Dataverse

The Power Platform Dataverse course provides in-depth training on creating solutions, managing data, and configuring security for IT professionals.


Target Audience for Power Platform Dataverse Course:


  • IT Professionals interested in Data Management
  • Business Analysts
  • Database Administrators
  • Data Scientists
  • Application Developers
  • System Administrators
  • CRM Administrators
  • Solution Architects
  • Security Managers
  • Technical Consultants
  • Power Platform Developers
  • Dynamics 365 Developers and Administrators


Learning Objectives - What you will Learn in this Power Platform Dataverse?

Introduction to the Course Learning Outcomes

This Power Platform Dataverse course empowers students with the skills to effectively utilize Dataverse for building and managing robust data solutions within the Power Platform ecosystem.

Learning Objectives and Outcomes

  • Understand the distinction between managed and unmanaged solutions and their appropriate usage scenarios.
  • Learn about different table types in Dataverse and their specific functions.
  • Gain proficiency in creating and configuring tables, including the use of advanced options.
  • Develop the ability to create custom columns and comprehend the significance of various data types.
  • Understand the concept of relationships in Dataverse and how to establish and manage them effectively.
  • Acquire the skills to create and manage different types of forms, enhancing user interaction and data entry.
  • Learn how to create and customize views to present data in a meaningful and accessible way.
  • Understand the architecture of security in Dataverse, including the creation of business units, teams, and security roles.
  • Master column-level security and the Hierarchy Security model to ensure data protection and proper access control.
  • Gain the knowledge to create a model-driven app that leverages the structured data and relationships defined in Dataverse.