👉 Distributed Stream Computing (DSC) is a paradigm designed for processing large-scale, real-time data streams across distributed systems. It enables the parallel execution of computations on massive datasets by breaking them into smaller, manageable chunks that can be processed concurrently across multiple nodes. DSC facilitates fault tolerance, scalability, and efficient resource utilization, making it ideal for applications requiring immediate insights from continuous data flows, such as financial market analysis, network monitoring, and IoT data processing. By abstracting the complexity of distributed environments, DSC allows developers to focus on high-level logic while leveraging the inherent advantages of distributed architectures for handling high-velocity, high-volume data streams.
