International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




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Survey Paper | Computer Science & Engineering | India | Volume 2 Issue 11, November 2013


Survey on Big Data by Coordinating MapReduce to Integrate Variety of Data

N. Monica | K. Ramesh Kumar [3]


Abstract: The growing impact of Big Data deduces the importance of analyzing vast amount of data with a frequent and rapid rate of growth and change in databases and data warehouses. Due to the different types of data, it requires a specialized merging system to combine variety of data to provide better performance, robustness, flexibility and scalability. Hence, it is important to identify a sophisticated strategy for merging different types of data in a way they provide the best result. This survey study gives an overview of variety of data and analyzed the problem of integrating unstructured data with the traditional structured data. Moreover, tools currently available either analyze the structured data or the unstructured data but not the both. As a consequence, few technologies of Big Data are proposed in survey for integrating variety of data. Present study reviews Big Data technology and other related issue available in the survey.


Keywords: Big Data, structured data, semi structured data, unstructured data, integration, technology


Edition: Volume 2 Issue 11, November 2013,


Pages: 427 - 432


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How to Cite this Article?

N. Monica, K. Ramesh Kumar, "Survey on Big Data by Coordinating MapReduce to Integrate Variety of Data ", International Journal of Science and Research (IJSR), Volume 2 Issue 11, November 2013, pp. 427-432, https://www.ijsr.net/get_abstract.php?paper_id=02013464



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