Hadoop Architecture and Its Issues

被引：16

作者：

Alam, Anam ^{[1
]}

Ahmed, Jamil ^{[2
]}

机构：

[1] NUCES, Dept Comp Sci, Karachi, Pakistan

[2] Univ Western Ontario, Dept Comp Sci, London, ON, Canada

来源：

2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), VOL 2 | 2014年

关键词：

Hadoop; Facebook; Big Data; G Example; HDFS; GFS; MapReduce;

D O I：

10.1109/CSCI.2014.140

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the shortcomings in Hadoop. Hadoop is a distributed paradigm used to manipulate the large amount of data. This manipulation contains not only storage as well as processing on the data. Hadoop is normally used for data intensive applications. It actually holds the huge amount of data and upon requirement perform the operations like data analysis, result analysis, data analytics etc. Now a day's almost every social media is using Hadoop for many intentions like opinion mining etc.

引用

页码：288 / 291

页数：4