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Improving Store and Access Performance in Heterogeneous Environment Using Map Reduce


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

A big data term is used for large information or data sets which are gathered from government-private organizations, education-technical field, social networks, and from so many resources which generate some informational data. All these resources are produced a huge amount of data sets. There is very critical problem of a big data- is to store all the data sets on a single computer. To solve this problem Big data term is used a cluster of computers to store and process the structured and unstructured data. Hadoop framework gives a well suitable solution of big data's problem. This paper represents the Hadoop framework and its various tools that are well-designed to store and access the large data sets. This paper is also discussing about the Map Reduce program.

Keywords

Big Data, Hadoop Framework, HDFS, Map Reduce.
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  • Improving Store and Access Performance in Heterogeneous Environment Using Map Reduce

Abstract Views: 132  |  PDF Views: 1

Authors

Kamalpreet Kaur
Department of Computer Engineering, Punjabi University, Patiala, India
Gurjit Singh Bhathal
Department of Computer Engineering, Punjabi University, Patiala, India

Abstract


A big data term is used for large information or data sets which are gathered from government-private organizations, education-technical field, social networks, and from so many resources which generate some informational data. All these resources are produced a huge amount of data sets. There is very critical problem of a big data- is to store all the data sets on a single computer. To solve this problem Big data term is used a cluster of computers to store and process the structured and unstructured data. Hadoop framework gives a well suitable solution of big data's problem. This paper represents the Hadoop framework and its various tools that are well-designed to store and access the large data sets. This paper is also discussing about the Map Reduce program.

Keywords


Big Data, Hadoop Framework, HDFS, Map Reduce.