Power Platform Dataverse Course Overview

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.