A Review on Analytics for Nutritional Modelling on Big Data Platform |
Author(s): |
| Nimishamba , Vidyavardhaka College of Engineering, Gokulam Mysuru-570002, Karnataka, India; Mrs. Pooja M R, Vidyavardhaka College of Engineering, Gokulam Mysuru-570002, Karnataka, India |
Keywords: |
| Bigdata, Hive, Nutrition, Analytics, HDFS |
Abstract |
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Big Data based approach has been used in evolving a model to predict nutritional deficiency Though, large quantity of data has been generated with respect to various nutrition intervention studies, including ICDS and MDM a data-driven approach is lacking. The present study is aimed to adopt such approach. Big data is the new art of comprehension and foreseeing human conduct by examining huge volumes of unordered information and keeps on being delivered in enormous sums, with expanding volume, speed and assortment. Hive model utilized for handling bigger datasets with a parallel disseminated on a bunch. Hive gives a SQL-like interface to information put away in HDP. Hive gives a database question interface to Apache Hadoop. |
Other Details |
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Paper ID: IJSRDV7I40817 Published in: Volume : 7, Issue : 4 Publication Date: 01/07/2019 Page(s): 909-912 |
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