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            Streaming Data Graphs

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            Streaming Data Graphs

            Use streaming data graphs to automatically refresh your data when underlying data changes. Streaming refresh reduces latency, removes the need for scheduling, and provides more predictable refresh behavior.

            Required Editions

            Available in: All Editions supported by Data 360. See Data 360 edition availability.

            Unlike scheduled refreshes that rely on defined intervals, streaming data graphs run automatically when source data changes. Streaming updates only the affected data, which improves efficiency, helps maintain consistent performance, and ensures metadata and data remain in sync.

            Use streaming data graphs when you need near real-time data availability and reduced dependency on refresh schedules.

            Note
            Note Streaming refresh isn’t supported for data graphs that include N:1 relationships between participating data model objects (DMOs) or filter conditions. After a data graph is created, you can’t change the refresh type between streaming and scheduled. To use a different refresh type, create a new data graph with the required configuration.
             
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