Create a high-level structure for a new data source

Introduction:

Microsoft Power Platform App Maker is a powerful tool that allows users to create custom applications without extensive coding knowledge. One of the key aspects of building these applications is leveraging data sources to provide the necessary information. In this article, we will discuss how to create a high-level structure for a new data source in Microsoft Power Platform App Maker, using insights from Microsoft documentation.

1. Defining the Purpose of the Data Source:

Before creating a new data source, it’s crucial to clearly define its purpose. Ask questions such as:

• What specific data is required for the application?
• What type of data will be stored in the source?
• How will the data source be accessed and updated?

2. Choosing the Appropriate Data Source Type:

Microsoft Power Platform App Maker offers various data source types, such as SQL databases, SharePoint lists, Excel files, and more. Consider the nature of your data and select the appropriate type. This decision will impact how your application interacts with the data source.

3. Configuring the Data Source Connection:

To establish a connection with the data source, follow these steps:

1. Open your Microsoft Power Platform App Maker application.
2. Navigate to the “Data” pane.
3. Click on “New Connection” and choose the corresponding data source type.
4. Provide the necessary credentials or connection details as per the data source requirements.

4. Designing Data Tables:

Based on the defined purpose, design the data tables within the data source. This involves creating fields or columns to store relevant information. Consider the data type, size, and constraints when defining these fields. For instance, if you are using a SQL database, create an appropriate table schema.

5. Importing or Creating Data Records:

Depending on the data source type, you can import existing data or create new records directly within the App Maker platform. For example, use the data import feature to bulk upload data from an Excel file or manually enter data into SharePoint lists.

6. Implementing Data Relationships:

If your application requires data relationships, such as one-to-many or many-to-many, establish these connections within the data source. This can be achieved by configuring foreign key constraints or using lookup fields in SharePoint lists. Ensure that the relationships accurately represent the data dependencies.

7. Securing Data Access:

To protect sensitive data, configure appropriate security measures within the data source. Assign access permissions to individual users or groups, restricting unauthorized access. Leverage the built-in security features of the selected data source type, such as SharePoint permission levels or database roles.

8. Testing and Troubleshooting:

After creating the data source structure, thoroughly test its integration with your Power Platform application. Execute various operations, such as data retrieval, editing, and deletion, to ensure seamless functionality. If any issues arise, refer to the Microsoft Power Platform documentation to troubleshoot common problems.

Conclusion:

Creating a high-level structure for a new data source in Microsoft Power Platform App Maker involves careful planning, configuration, and testing. By following the guidelines outlined in this article, you can effectively define the purpose of your data source, select the appropriate type, configure connections, design data tables, import or create records, establish relationships, secure data access, and ensure proper functionality. With a well-structured data source, your Power Platform application will be equipped to handle and leverage relevant data efficiently.