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Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextualdata, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.
Enterprise stream management is the ability to manage an intermediary that can broker real-time data between any number of “publishing” sources and “subscribing” destinations. This capability converts large volumes of raw data into contextualizeddata that is ready for use in a business process.
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