Introduction to model-driven apps and Dataverse

 Model-driven apps

       Model-driven app design is a component-focused approach to app development. Model-driven app design doesn’t require code and the apps you make can be simple or very complex. Unlike canvas app development where the designer has complete control over app layout, with model-driven apps much of the layout is determined for you and largely designated by the components you add to the app. Model-driven apps start with your data model – building up from the shape of your core business data and processes in the Dataverse to model forms, views, and other components. Model-driven apps automatically generate great UI that is responsive across devices.

        Model-driven app design doesn’t require code and the apps you make can be simple or very complex.  With model-driven apps, much of the layout is determined for you and largely designated by the components you add to the app.

Model-driven app design provides the following benefits:

1.Rich component-focused no-code design environments

2.Create complex responsive apps with a similar UI across a variety of devices from desktop to mobile

3.Rich design capability

4.Your app can be distributed as a solution

        Whether you are building a canvas app or a model-driven app, Dataverse is the ideal data source because it is the foundational data source of Microsoft Power Platform. As a result, you will experience the most functionality, the deepest integrations, the most features, and the best ease-of-use of any available data sources. From simple web-based data design to robust, role-based security, Microsoft Dataverse is a straightforward platform that you can use to begin designing your data structures and helping to keep them safe. Then, with your data in place, you have rich integration capabilities from Power Apps and the rest of Microsoft Power Platform.

        Another benefit of using Dataverse is that all of your data is stored in tables. A table is a set of records that is used to store data, similar to how a table stores data within a database. Dataverse includes a base set of standard tables that cover typical scenarios, but you can also create custom tables that are specific to your organization. Standard and custom tables within Dataverse help provide a secure and cloud-based storage option for your data. Tables allow you to create a business-focused definition of your organization's data for use within apps.

Advantage to use Dataverse

1) Easy to manage

2) Secure store

3) Work with any type of data

4) Work with any type of apps

5) Metadata

6) Analytics and reporting

Import and Export Data into Dataverse

            There are many ways to import and export data into Common Data Service you can use these ways to import and export data:

* Dataflow

* Power Query,

* Azure Data Factory,

* Azure Logic Apps,

* And Power Automate.

Tables relationships in Microsoft Dataverse 

                There are three relationships in Data verse tables these types are (One-to-many, Many-to-one, and Many-to-many). The table records can be associated with records from other tables or the same table. Relationships define how rows can be related to each other in the database