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The apache hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Apache Hadoop的核心模組分為儲存和計算模組，前者被稱為Hadoop分散式檔案系統（HDFS），後者即MapReduce計算模型。 Hadoop框架先將檔案分成資料塊並分散式地儲存在叢集的計算節點中，接著將負責計算任務的代碼傳送給各節點，讓其能夠並列地處理資料。 本文系统阐述Hadoop的核心架构与工作原理，解析其核心组件、高可用方案与任务调度机制，为您的技术选型与开发实践奠定坚实基础。
Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持，它允许使用简单的编程模型跨计算机群集分布式处理大型数据集，并且支持在单台计算机到几千台计算机之间进行扩展。 Hadoop 的安装是一场充满细节的挑战😫！ 不过别担心， 本篇保姆级教程将手把手带你从零搭建一个 3 节点 Hadoop 集群，即便是完全没接触过的新手，也能跟着步骤一遍成功 ！ 本文详述Hadoop的安装、配置与运行流程，涵盖虚拟机环境搭建、Hadoop环境配置、三种运行模式详解及源码编译，是Hadoop初学者与进阶者的实用指南。
MapReduce 是一个 分布式运算程序的编程框架，是用户开发“基于 Hadoop 的数据分析应用”的核心框架。 MapReduce 核心功能是将用户编写的业务逻辑代码和自带默认组件整合成一个完整的分布式运算程序，并发运行在一个 Hadoop 集群上。
Hadoop是一个由Apache基金会所开发的分布式系统基础架构。 用户可以在不了解分布式底层细节的情况下，开发分布式程序。 充分利用集群的威力进行高速运算和存储。 本文介绍了Hadoop的基本概念、操作实例、优缺点及未来趋势，适合作为大数据初学者的入门指南，并提供了代码实战示例。 Apache Hadoop 软件库是一个框架，它允许使用简单的编程模型在计算机集群上对大型数据集进行分布式处理。 它旨在从单台服务器扩展到数千台机器，每台机器都提供本地计算和存储。
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