Resume parsing using hadoop |
Author(s): |
| Akshata Walavalkar , Padmabhushan Vasant Dada Patil Pratishthan College Of Engineering ; Sheikh Abdul Rehman, Padmabhushan Vasant Dada Patil Pratishthan College Of Engineering ; Prachi Kore, Padmabhushan Vasant Dada Patil Pratishthan College Of Engineering ; Saurabh Nimbalkar, Padmabhushan Vasant Dada Patil Pratishthan College Of Engineering |
Keywords: |
| Bid Data, Parameters, Hadoop, Map Reduce, HDFS |
Abstract |
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Big data is a collection of structured and unstructured data sets that include the huge quantities of data, social media analytics, data management capabilities, real-time data. For Big Data processing Hadoop uses Map Reduce paradigm. First we will briefly explain Hadoop-Map Reduce and its use for Big Data processing. After explaining the current system we will explain how we are using HDFS to implement our system. Our implementation of Hadoop is in pseudo mode. We are using Map Reduce programs for processing and at the end output will be presented in the text format. |
Other Details |
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Paper ID: IJSRDV3I1171 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 440-442 |
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