Title :
Hadoop Architecture and Its Issues
Author :
Alam, Ahmad ; Ahmed, J.
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Comput. & Emerging Sci., Karachi, Pakistan
Abstract :
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.
Keywords :
Big Data; distributed processing; social networking (online); Hadoop architecture; data analysis; data analytics; data intensive applications; data processing; distributed paradigm; opinion mining; result analysis; social media; Distributed databases; Facebook; File systems; Google; Media; Programming; Big Data; Facebook; G. Example; GFS; HDFS; Hadoop; MapReduce;
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/CSCI.2014.140
