👉 Feeds computing is an emerging paradigm that focuses on processing and analyzing real-time data streams from various sources, such as social media, IoT devices, and sensors, without the need for traditional batch processing. In feeds computing, data is ingested continuously, and computational resources are dynamically allocated to handle the varying workloads and ensure low-latency processing. This approach enables real-time analytics, decision-making, and automated responses based on the incoming data, making it particularly useful for applications requiring immediate insights, such as fraud detection, personalized recommendations, and smart city management. Feeds computing systems often leverage distributed architectures and machine learning models to efficiently manage and interpret the high-velocity data, providing a scalable and responsive solution for modern data-intensive environments.
