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The Streaming Data Platform is an elastically scalable platform for ingesting, storing, and analyzing continuously streaming data in real time. The platform can concurrently process both real-time and collected historical data in the same application.
The Streaming Data Platform ingests and stores streaming data from a range of sources. These sources can include IoT devices, web logs, industrial automation, financial data, live video, social media feeds, applications, and event-based streams. The platform can process millions of data streams from multiple sources while ensuring low latencies and high availability.
The platform manages stream ingestion and storage, and hosts the analytic applications that process the streams. It dynamically distributes data processing and analytical jobs over the available infrastructure. Also, it dynamically and automatically scales resources to satisfy processing requirements in real time as the workload changes. The Streaming Data Platform integrates the following capabilities into a single software platform:
In summary, the platform enables storing continuously streaming data, analyzing that data in real time, and supports historical analysis on the stored stream.