MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1][2][3]

前面我们讲了 Hadoop 的大规模数据存储，今天继续讲下Hadoop的另一个核心的部分大规模数据计算MapReduce，也称为分布式并行编程模型。

MapReduce是一种编程模型，用于大规模数据集（大于1TB）的并行运算。 概念"Map（映射）"和"Reduce（归约）"，是它们的主要思想，都是从函数式编程语言里借来的，还有从矢量编程语言里 …

MapReduce 是一种编程模型，它使用并行处理来加速大规模数据处理，并实现跨服务器的大规模可扩展性。

Aug 4, 2025 · MapReduce Architecture is the backbone of Hadoop’s processing, offering a framework that splits jobs into smaller tasks, executes them in parallel across a cluster, and merges results.

Nov 28, 2025 · MapReduce is a programming model that uses parallel processing to speed large-scale data processing. Discover its workings and the key features.

May 5, 2025 · MapReduce is a programming model designed for big data. It processes different pieces in parallel, breaking down big data tasks into smaller chunks, which makes it significantly easier and …

MapReduce is a Java-based, distributed execution framework within the Apache Hadoop Ecosystem. It takes away the complexity of distributed programming by exposing two processing steps that …

Jun 19, 2025 · MapReduce is the processing engine of Hadoop that processes and computes large volumes of data. It is one of the most common engines used by Data Engineers to process Big Data.

MapReduce is a programming model or pattern within the Hadoop framework that is used to access big data stored in the Hadoop File System (HDFS). It is a core component, integral to the functioning of …