DocumentCode
145636
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
Volume
2
fYear
2014
fDate
10-13 March 2014
Firstpage
288
Lastpage
291
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/CSCI.2014.140
Filename
6822351
Link To Document