Real-time dashboards that stream data can be created using Power BI through the following actions:
Configure Streaming Datasets: Power BI allows for two kinds of streaming datasets: Dana Azure Stream Analytics or PubNub streaming datasets and push datasets. Push datasets are those sent straight into Power BI via APIs. Use the one that best fits your needs where applicable. For example, when IoT devices send continuous live financial data investments and telemetry data, Azure Stream Analytics is used. Select the streaming dataset in your workspace and connect it to your data source so you can set up these datasets with Power BI.
Make Real-Time Dashboards and Tiles: Use the streaming dataset to make visuals. In addition, Power BI dashboards enable an individual to create specific measures, such as gauge slicers of figures, using tables to provide current information and line graphs to show the data over time. Add any visuals provided in the gallery for the data mart above, but remember that those are only visuals and need to be set as live data by turning on the option of real-time tile.
Optimise Design and Performance: For enhanced performance, especially in the case of a performance that involves a lot of dynamics coded into the dashboard, it is ideal to limit the number of visuals that support live data changes within a given dashboard. Include effective dashboards that stress the key performance indicators and resort to useful features such as auto-refresh and centrifugal force for effective updating. If the requirements are such that there is a need for all components to be added at once, consider enabling caching mechanisms where network delays are acceptable and real-time responsiveness is not critical.
Adhering to the described procedures makes it easy to build interactive and operational Power BI dashboards in real-time.
