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Big Data Analysis Using RHadoop


Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, India
 

Big Data is hastily exploding in all domains, including physical and biological. Big Data Mining is the real world data mining. Traditional databases systems are not able to store and process big data. With increase in the size of data, amount of irrelevant data also increases and the process of mining becomes inaccurate. Big Data technologies are important in providing precise analysis, which lead to firm decision-making. Various Big Data technologies are available in market from different vendors including Amazon, IBM, Microsoft and Apache etc. The huge size of analytics requires large computation which can be done with the help of distributed processing HADOOP. This paper describes big data and processing of big data using RHADOOP.

Keywords

Hadoop, Hadoop Distributed File System (HDFS), HBASE, rhdfs, rmr, rhbase, RHadoop.
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  • Big Data Analysis Using RHadoop

Abstract Views: 182  |  PDF Views: 3

Authors

Sarpreet Kaur
Department of Computer Engineering, Punjabi University, Patiala, India
Sheena
Department of Computer Engineering, Punjabi University, Patiala, India
Williamjeet Singh
Department of Computer Engineering, Punjabi University, Patiala, India

Abstract


Big Data is hastily exploding in all domains, including physical and biological. Big Data Mining is the real world data mining. Traditional databases systems are not able to store and process big data. With increase in the size of data, amount of irrelevant data also increases and the process of mining becomes inaccurate. Big Data technologies are important in providing precise analysis, which lead to firm decision-making. Various Big Data technologies are available in market from different vendors including Amazon, IBM, Microsoft and Apache etc. The huge size of analytics requires large computation which can be done with the help of distributed processing HADOOP. This paper describes big data and processing of big data using RHADOOP.

Keywords


Hadoop, Hadoop Distributed File System (HDFS), HBASE, rhdfs, rmr, rhbase, RHadoop.