![]() ![]() ![]() The following table describes the three types of datasets for real-time streaming and lists their capabilities and limitations. Since Power BI is directly connected to the PubNub data stream, there's little latency between pushing the data into the Power BI service and updating the visual. Tiles based on a PubNub streaming dataset are optimized for quickly displaying real-time data. You can visualize a PubNub streaming dataset only by adding a tile to the dashboard and configuring a PubNub data stream as the source. You can't build report visuals against the data that flows in, and can't use report functionality like filtering or Power BI visuals. For instructions, see the support article about approving outbound traffic for PubNub.Īs with the streaming dataset, with the PubNub streaming dataset there's no underlying Power BI database. Because the web client makes this call directly, if you allow only approved outbound traffic from your network, you must list traffic to PubNub as allowed. With a PubNub streaming dataset, the Power BI web client uses the PubNub SDK to read an existing PubNub data stream. Examples of data that's ready as-is include temperatures and pre-calculated averages. You should have the data pushed in a format that can be visualized as-is, without any more aggregations. In practice, it's best to use streaming datasets and their accompanying streaming visuals in situations when it's critical to minimize the latency between pushing and visualizing data. There's little latency between pushing the data into the Power BI service and updating the visual, because there's no need for the data to be entered into or read from a database. The custom streaming tiles that are based on a streaming dataset are optimized for quickly displaying real-time data. The only way to visualize a streaming dataset is to add a tile and use the streaming dataset as a custom streaming data source. Therefore, you can't use report functionality such as filtering, Power BI visuals, and other report functions. The temporary cache is used only to display visuals that have some transient history, such as a line chart that has a time window of one hour.Ī streaming dataset has no underlying database, so you can't build report visuals by using the data that flows in from the stream. After you make a Q&A query, you can pin the resulting visual back to the dashboard, and that visual will also update in real time.Ī streaming dataset also pushes data into the Power BI service, with an important difference: Power BI stores the data only into a temporary cache, which quickly expires. Once you pin a visual to a dashboard, you can use Q&A to ask questions about the push dataset in natural language.Pinning an entire report by using the Pin live option won't result in the data automatically being updated.There are two considerations to note about pinned tiles from a push dataset: Within the Power BI service, the dashboard triggers a tile refresh every time new data is received. On that dashboard, visuals update in real time whenever the data is updated. Once you create a report using the push dataset, you can pin any of the report visuals to a dashboard. You can use all of Power BI's report building features, such as Power BI visuals, data alerts, and pinned dashboard tiles. ![]() These reports and their visuals are just like any other report visuals. When the dataset is created, the Power BI service automatically creates a new database in the service to store the data.īecause there's an underlying database that stores the data as it arrives, you can create reports with the data. With a push dataset, data is pushed into the Power BI service. Later sections describe how to push data into each of these datasets. This section explains how these datasets differ from one another. The following three types of real-time datasets are designed for display on real-time dashboards: This article shows you how to set up and use real-time streaming datasets in Power BI.įirst, it's important to understand the types of real-time datasets that are designed to display in tiles and dashboards, and how those datasets differ. The devices and sources of streaming data can be factory sensors, social media sources, service usage metrics, or many other time-sensitive data collectors or transmitters. Any visual or dashboard created in Power BI can display and update real-time data and visuals. Power BI with real-time streaming helps you stream data and update dashboards in real time. ![]()
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