Скачать или смотреть 4 - MapReduce with example | Hadoop MapReduce understand quickly | Big Data Analytic & Visualization

MapReduce is a programming model and data processing technique designed to handle large-scale data processing tasks in a distributed computing environment. It was popularized by Google and is widely used for processing and generating insights from vast datasets. MapReduce divides a complex task into two main phases: the "Map" phase, where data is split into smaller chunks and processed in parallel across multiple nodes, and the "Reduce" phase, where the results from the Map phase are aggregated and consolidated to produce the final output. This parallel and distributed approach to data processing is highly scalable and fault-tolerant, making it a fundamental tool for big data analytics, enabling efficient processing of massive volumes of data across clusters of computers.

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