How to Create a Dataverse Table and Configure Columns

Microsoft Dataverse is the core data platform of the Power Platform. It provides a secure and scalable way to store business data used across Power Apps, Power Automate, and other Microsoft services. In this guide, you will learn how to create a custom Dataverse table and properly configure its columns using the correct data types.

This is one of the most important foundational steps when building professional Power Platform solutions.

Creating a Dataverse Table

The first step is to create a new table inside Dataverse.

When creating a table, you define several key elements:

• The table name, which represents your data entity

• The primary column, which acts as the main identifier for each record

• Optional configurations such as enabling attachments or advanced settings

At this stage, you are essentially defining the structure that will store your business data.

A well-designed table structure is critical because it determines how scalable and maintainable your solution will be in the long term.

Adding Columns to the Table

Once the table is created, the next step is to add columns. Each column represents a specific field in your data model.

Typical examples include:

• Text columns for names, descriptions, or labels

• Number columns for quantities, costs, or metrics

• Status-related fields for tracking progress or states

This step is where your data model begins to take shape. Proper column design ensures that your data remains structured and easy to use across apps and workflows.

Creating a Choice (Dropdown) Column

A Choice column allows users to select values from a predefined list instead of entering free text.

For example, you can define options such as:

• Not Started

• In Progress

• Completed

Using Choice columns ensures consistency in your data and prevents invalid or inconsistent inputs.

You can also configure default values and manage the list of allowed options, making it ideal for status tracking scenarios and business processes.

Creating a Date Column

Dataverse also supports structured date fields, which are essential for time-based scenarios.

You can create Date columns to store information such as:

• Start dates

• End dates

• Deadlines or due dates

These fields enable you to build automation logic, reminders, and scheduling scenarios using Power Automate and Power Apps.

Summary

In this tutorial, you learned how to:

• Create a Dataverse table

• Add and configure columns

• Work with different data types

• Create Choice (dropdown) fields

• Create Date fields

These concepts form the foundation of any professional Power Platform solution and are essential for building scalable business applications.

Youtube video: https://youtu.be/L1v-JMDVkEU