IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

AN EFFICIENT HADOOP FRAMEWORKS SQOOP AND AMBARI FOR BIG DATA PROCESSING


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International Journal for Innovative Research in Science & Technology
Volume 1 Issue - 10
Year of Publication : 2015
Authors : Mr.S.S.Aravinth ; A.Haseenah begam ; Ms.S.Shanmugapriyaa ; Ms.S.Sowmya ; Mr.E.Arun

BibTeX:

@article{IJIRSTV1I10027,
     title={AN EFFICIENT HADOOP FRAMEWORKS SQOOP AND AMBARI FOR BIG DATA PROCESSING},
     author={Mr.S.S.Aravinth, A.Haseenah begam , Ms.S.Shanmugapriyaa , Ms.S.Sowmya and Mr.E.Arun },
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={10},
     pages={252--255},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I10027.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

A Process having a large number of data affects the Operation. Due to this large augment of data, the industries are struggling to store, handle, and analyse the data. The normal data base systems are not enough to do the above mentioned activities.Then here comes the hadoop technology, In Hadoop the enormous data will be stored and processed effectively and efficiently. Hadoop is the technology which has many frameworks such as data integration, management, orchestration, monitoring, data serialization, data intelligence, storage, integration and access. So hadoop technology is used in which Sqoop tool is used ,it is a command-line interface application for transferring data between relational databases and hadoop . In hadoop scoop is the command line interface used for both Import and export from relational database to hadoop. In hadoop another tool called ambari is used. It is used to simplify Hadoop management processing of huge amount of data. It also works for provisioning, managing and monitoring of apache Hadoop clusters. In this paper the sqoop and ambari frameworks have been analysed with various parameters.


Keywords:

Big Data, hadoop, Ambari , Sqoop, & Data processing


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