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💡 Concept 1: MapReduce Parallel Architecture

MapReduce is a programming model designed for processing massive datasets with a parallel, distributed algorithm on a cluster.

Phase 1: MAPFilters and sorts data (e.g. groups student IDs by subject).
Phase 2: REDUCEAggregates sorted results (e.g. sums up subject grades to calculate final average).