Automatically tuning the resource configurations for streaming data processing systems using machine learning

Data can be likened to a stream of water when a large amount of data is generated continuously. A variety of data including applications, networked devices, server log files, various online activities, and location-based data can form a continuous stream. We call such a form of data processing stream data.

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