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• Published Subscription 7 Sep 2016

  Assessment of Various Chunking Techniques for De-duplication in Big Data

  By Rahul Rawat

  Abstract: From previous fifteen years, the data is growing very rapidly; such a huge data is termed as big data. The size of big data can be in TB and PB. The main challenge in big data is to handle duplicate data and to obtain useful information. In this paper, an assessment of various chunking techniques has been presented. There are different chunking techniques available named; frequency based chunking, content based …

  Published in Recent Trends in Programming languages · Vol. 3, Issue 2, 2016 · pp. 7–12 Read article →