The framework operates in two main phases: the Map phase and the Reduce phase. During the Map phase, the input data is split into smaller sub-problems and distributed across different nodes in a cluster. In the Reduce phase, the results of the sub-problems are combined to produce the final outcome. This parallel processing model significantly reduces the time required to analyze large datasets.