1. Create and manage environments in Dataverse
An environment is a space to store, manage, and share your organization's business data that is stored within an instance of a Dataverse database. You can set up one or many environments, depending on the needs of your organization. This module explores these environments and how you can use them with instances of Dataverse databases.
2. Create tables in Dataverse
Dataverse lets you securely store and manage data that's used by business applications. Standard and custom tables within Dataverse provide a secure and cloud-based storage option for your data.
3. Create and manage columns within a table in Dataverse
Do you want to create new data columns or use existing standardized columns for your business solutions? This module shows you how to manage or create new columns within a table in Dataverse.
4. Working with choices in Dataverse
Do you want to create standardized choice lists that you can use across all of your Power Apps? This module will show you how to create new or use standard choice lists called choices in Dataverse.
5. Load/export data and create data views in Dataverse
Dataverse lets you load data into or export tables from other tables by using Microsoft Excel. You can also create views to quickly review data that is stored within a table.
6. Connect to other data in a Power Apps canvas app
Do you need to connect to data that isn't tabular? This module will help with that. It includes discussion of action-based connectors, Flow, and user data.
7. Create a relationship between tables in Dataverse
Do you need to create relationships between tables? This module will show how and why you can separate data into tables and how to relate between tables to build complex and robust business solutions. It will also explain the different kinds of relationships that you can define between tables in Dataverse.
8. Define and create business rules in Dataverse
The ability to build business rules that ensure consistent business logic whatever app is accessing that data set is imperative to a successful business operation. This module will show you how you can build business rules that are triggered anytime they're used within Dataverse.
9. Create and define calculation or rollup columns in Dataverse
Do you want to use rollup or calculation columns? This module shows you how to build calculations or rollups that are defined and triggered within the data in Dataverse, regardless of the app that accesses that data set.
10. Customize the command bar
Learn to implement actions for customized commands on the command bar in Power Apps.
11. Common command bar scenarios
This module explores some common scenarios for customizing the command bars in Power Apps model-driven apps. Using Power Fx logic, you implement custom commands that handle various use cases. By combining these techniques, you provide app users with command bar commands that implement their unique requirements.
12. Advanced command bar concepts
In Power Apps model-driven apps, command bars provide users with a set of commands they can select to run custom logic. In this module, we'll explore some advanced concepts and techniques you can use when customizing command bar commands.
13. Visualize data with Dataverse views
The number of records and columns for many Dataverse tables can be overwhelming. To help Power Apps users be more efficient, you can create Dataverse views. You can access the sorting, filtering, and display properties of Dataverse views in Power Apps Studio. In this module, you explore how to take advantage of Dataverse views to visualize data by using only the required columns, records, and applicable sorting.
14. Use Power Query to load data in Dataverse
Synchronizing data from different sources to a Microsoft Dataverse table can seem overwhelming. To help Power Apps users with these processes, the users can create Dataverse dataflows. Dataflows use the Power Query interface that is accessible in Power Apps Studio to provide a guided approach. Also, in this module, you'll explore how Power Query can help load data into Dataverse tables.
15. Use Microsoft Word and Excel templates with Dataverse
Explore how you can create data analysis and standardized documents by using Microsoft Dataverse data along with Microsoft Word and Excel templates.
16. Export data from Dataverse and use Microsoft Excel to edit records
Explore how you can use Microsoft Excel files to export and edit Microsoft Dataverse table data.
17. Use Azure and external tools to manipulate data
Explore how Azure and external tools can provide solutions to help you manipulate Microsoft Dataverse records.