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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  • Live Online Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

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  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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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.