A Comparative Study based on Bigdata Processing Techniques |
Author(s): |
| Ajaz Ahmad Kumar , National Institute of Electronics and Information Technology |
Keywords: |
| bigdata; data sets; data processing; data storage |
Abstract |
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The concept of bigdata is based on grid computing and its essential features i.e. six (6) V's. The aim of BPT leveraging big data is to take action – to make more accurate decisions and to produce smaller data sets for analysis so quickly. The study of bigdata processing has been carried on the areas like generation and interpretation of bigdata, large volume of data beyond capacity and unstructured data. Unsupervised machine learning algorithms are being applied profusely in BPT. These unsupervised learning is used for finding the hidden structure from the unlabelled datasets. Since the datasets are not labelled, there will be no error while evaluating for potential solutions. The objective of this paper is to present a comparative study of different bigdata processing techniques. |
Other Details |
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Paper ID: IJSRDV4I90400 Published in: Volume : 4, Issue : 9 Publication Date: 01/12/2016 Page(s): 587-589 |
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