CAJ | 학술논문

谷歌公司作为是大数据时代的奠基者,其大数据技术一直是IT企业争相学习和研究的重点,也是行业大数据技术架构的标杆.本文首先叙述了大数据的概念、产生背景及特点.接着,主要阐述了谷歌大数据技术:分布式文件系统(GFS)、Google MapReduce模式、BigTable存储系统.最后,介绍了其开源实现:Hadoop文件系统(HDFS)、Hadoop MapReduce模式、HBase存储系统等,并阐明这些技术的基本原理及组织结构.
곡가공사작위시대수거시대적전기자,기대수거기술일직시IT기업쟁상학습화연구적중점,야시행업대수거기술가구적표간.본문수선서술료대수거적개념、산생배경급특점.접착,주요천술료곡가대수거기술:분포식문건계통(GFS)、Google MapReduce모식、BigTable존저계통.최후,개소료기개원실현:Hadoop문건계통(HDFS)、Hadoop MapReduce모식、HBase존저계통등,병천명저사기술적기본원리급조직결구.
Google, as a founder of the era of big data, its big data technology has been the focus of IT companies competing to learning and research. as well as the demonstration and benchmark for industry big data technology architecture. This paper describes the concept of big data, background and characteristics; subsequently, mainly focuses on Google Big Data technologies: Distributed File System (GFS), Google MapReduce model, BigTable Storage System;fi naly, introduces their open source implementations: Hadoop File System (HDFS), Hadoop MapReduce model, HBase Storage System, and describes the basic principles and organizational structure of these techniques.