👉 Distributed Computing, or "Dans" as it's known in some regions, is a paradigm where computational tasks are divided and executed across multiple interconnected computers or nodes, often forming a network. This approach leverages the collective power of these diverse machines to solve complex problems that would be infeasible for a single computer. Dans computing enables scalability, fault tolerance, and efficient resource utilization by distributing workloads, data, and processing tasks. It's widely used in big data analytics, scientific simulations, cloud computing, and machine learning, where tasks can be parallelized to speed up computations and improve overall system performance. By harnessing the combined capabilities of multiple devices, dans computing facilitates robust and flexible solutions for a wide range of computational challenges.
