Microsoft Power Platform is a low-code platform for building business apps quickly. It includes four main components: Power Apps, Power Automate, Power BI, and Power Virtual Agents. Each component can be used individually or together. When used together, they're designed to interact with the others to achieve business objectives, be it building analytics, process automation, or data-driven productivity apps.
The platform uses a low-code approach to build solutions rapidly. It allows everyone in an organization, from frontline workers to professional developers, to participate in building apps that drive positive business outcomes. Developers can work seamlessly with the makers in an organization to help fill gaps and solve complex challenges using a rich extensibility model provided by the platform components. Using native integration with Azure, developers can also use their cloud development skills to extend Microsoft Power Platform. This approach to low-code development is a transformative way to achieve application development objectives within an organization quickly.
To be an efficient developer on the platform, it's important to understand the basics of what the platform offers. The following is a high-level overview of each of the core components and their key extensibility points.
Power Apps applications
Apps created with Power Apps are consumed by users using their desktop or mobile devices. There are different types of Power Apps: canvas, model-driven, and portal.
Canvas applications provide the maker with complete control over the pixel-perfect screen contents and navigation between multiple screens. Canvas applications use connectors to work with data and services. Canvas applications can be embedded into SharePoint, Teams, Power BI, and Dynamics 365 applications.
Model-driven applications are data-driven applications that are built on top of Microsoft Dataverse. Other data sources and services can be used by model-driven applications by embedding a canvas application.
Power Apps portals are used to create external-facing websites that allow users outside an organization to sign in with a wide variety of identities, create and view data from Dataverse, or even browse content anonymously.
The following are the key developer extensibility points for Power Apps:
Building custom visual controls using Power Apps Component Framework (PCF)
Implementing client business logic using JavaScript and the client API
Building custom connectors for external data sources and services using tools like Azure Functions and Azure API Management
Building HTML web resources
Power Automate
Power Automate is used to automate tasks and orchestrate activities across various services that use connectors. Using Power Automate you can create cloud flows or desktop flows.
Cloud flows can be triggered manually, configured to run when specific events occur, such as when a record is created, or scheduled to run at a specific time. Power Automate is built on top of Azure Logic Apps but offers unique integration with Microsoft Power Platform.
Desktop flows, as the name suggests, are used to automate repetitive interactive tasks on the web or the desktop.
The following are the key developer extensibility points:
Building custom connectors using tools like Azure Functions and Azure API Management
Use workflow definition functions to build complex expressions
To learn more about building cloud flows with Power Automate, see the Automate a business process using Power Automate learning path. For an introduction to desktop flows, see the Get started with Power Automate for desktop
Power BI
Power BI is Microsoft's business analytics solution that provides interactive data visualization BI tools to help users visualize and share data and insights across their organization.
The following are the key developer extensibility points:
Embed Power BI in apps, websites, and portals
Create custom visuals using the open-source SDK
Use Power BI REST API to run automatic data refresh, augmentation, and transformation processes, autoscale the resources, automate application lifecycle management (ALM), and more
Develop Power Query custom connectors to connect to and access data from proprietary applications, services, or data sources
For an introduction on how to create Power BI reports, see the Create and use analytics reports with Power BI learning path.
Power Virtual Agents
Power Virtual Agents lets you create powerful chatbots that can answer questions from your customers, other employees, or visitors to your website or service. Power Virtual Agents is built on Microsoft Bot Framework and provides a low-code experience to build and manage chatbots.
The following are the key developer extensibility points:
Build Bot Framework Skills
Extend bots with Bot Framework Composer
For an introduction on how to create Power Virtual Agent chatbots, see the Create bots with Power Virtual Agents learning path.
Connectors
Connectors are a key component allowing access to data and services. A connector is a proxy or a wrapper around an API that allows the underlying service to talk to Microsoft Power Automate, Microsoft Power Apps, and Azure Logic Apps. It provides a way for users to connect their accounts and use a set of pre-built actions and triggers to build their apps and workflows.
There are hundreds of pre-built connectors available for use in apps and flows. You can build custom connectors for any REST API. Developers can also implement code that transforms request and response payloads beyond the scope of existing policy templates.
You can learn more about custom connectors in the connectors documentation.
Dataverse
Dataverse is a cloud scale data store that build on Microsoft's data technologies and abstracts away data management complexity from the app maker. It lets you securely store and manage data that is used by business applications. Business data within Dataverse is stored within a set of data tables. Role-based security allows businesses to control access to the data tables and even individual records for different users within your organization. Developers can extend or customize Dataverse functionality by adding custom business logic. You can define calculated table columns, business rules, workflows, and business process flows to ensure data quality and drive business processes.
The following are the key developer extensibility points:
Create plug-ins, similar to event handlers, that customize or extend Dataverse data processing with custom business logic (code)
Use webhooks and Azure Service Bus to integrate with external systems
Extend the Dataverse API with your own custom API that implements your business logic
Use virtual tables to integrate data stored in external systems into Dataverse without replicating the data
For a more in-depth look at Common Data Service, see the Get started with Dataverse module.
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