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International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
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IJTEEE >> Volume 3 - Issue 7, July 2015 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Framework For ETL With Hadoop Map Reduce

[Full Text]

 

AUTHOR(S)

Jaswender Malik, Kavita

 

KEYWORDS

Keywords: ETL, Handler, Usage, Conclusion

 

ABSTRACT

Abstract: Big Data is dealt by every organization which serves large number of users. Efficiently fetching, transferring, storing, cleaning, sanitizing, querying and extracting information from Big Data is a daunting task because a single machine and the traditional algorithms can’t handle this staggering amount of data tractably. Now not all data comes in the form that can be directly processed by automated programs. Before feeding the data into huge data processing systems[1]. It is necessary to treat raw data to convert it into a consistent format. This is done using data cleaning, sanitization and transformation operations. In this paper we present a neat framework for data cleaning and transformation operation which can be integrated in existing Map Reduce (Hadoop) infrastructures. This framework can be standardized and be adopted by corporations for their Big Data processing tasks.

 

REFERENCES

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