Power BI offers 'Streaming Datasets,' a type of dataset that can receive and display real-time data. You can use the Power BI REST API or the Power BI SDKs to push data into these datasets. This enables you to build live dashboards and reports that update automatically as new data arrives. It's a powerful feature for monitoring live data feeds, tracking social media trends, or visualizing sensor data from IoT devices.

Power BI provides a feature called 'Real-time Streaming' which enables continuous data updates in near real-time. This feature allows you to connect to external sources like IoT devices, social media platforms, or any data provider that supports APIs. By defining a data push frequency and specifying a schema for the streaming data, you can visualize and analyze the data as it is being streamed into Power BI.

Real-time streaming in Power BI is achieved through the integration with Azure Stream Analytics and Event Hubs. Using these Azure services, you can set up data pipelines that capture, process, and push streaming data into Power BI. This allows you to analyze data from a wide range of sources and display it in real-time dashboards. Furthermore, you can apply near real-time analytics and complex event processing to the incoming data to derive insights on the fly.