Distributed computing is a model where components of a software system are shared among multiple computers to improve efficiency and performance. This is the core foundation of modern big data. Instead of one giant computer, thousands of smaller ones work together to process information on a giant scale.
This architecture provides a safety net for large-scale data processing. It eliminates any single point of failure. If one machine in the network goes offline, the others can pick up the slack and continue the task, allowing for data workloads to be completed quickly and reliably without the costs or security risks associated with maintaining a single, massive supercomputer.
