Continuous Flow
Continuous Flow is a data processing methodology that involves the continuous and automated processing of data in real-time or near real-time. It is a data processing approach that enables the processing of data as soon as it is generated, without any delay. Continuous Flow is used in various applications such as fraud detection, real-time monitoring, and predictive maintenance. It is a key component of many modern data processing systems, including stream processing systems and event-driven architectures. Continuous Flow is designed to handle large volumes of data and can be used to process data from various sources, including IoT devices, social media, and other real-time data sources. It is a highly scalable and fault-tolerant approach to data processing that can handle large volumes of data with high velocity and variety.
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