An Anatomization of Aadhaar Card data set - A big data challenge

被引:2
|
作者
Dayal, Mohit [1 ]
Singh, Nanhay [1 ]
机构
[1] Ambedkar Inst Adv Commun Technol & Res, New Delhi, India
关键词
Big data; hadoop; unstructured data; pig latin;
D O I
10.1016/j.procs.2016.05.260
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Big data Analytics refers to the techniques that can be used for converting raw data into meaningful information which helps in business analysis and forms a decision support system for the executives in the organization. Big data is the voluminous and complex collection of data that cannot be processed using traditional tools. In this paper we author analyzed the aadhaar card data set against different research queries for example total number of aadhaar cards approved by state, rejected by state, total number of aadhaar card applicants by gender and total number of aadhaar card applicants by age type. The main objective of aadhaar card is to provide 12 digit unique numbers to each Indian resident. So that common masses can be benefited by the various governmental policies such as direct benefit transfer, aadhaar enabled biometric attendance and other uses by central government agencies. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:733 / 739
页数:7
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