Open AccessAn Analytical Study of Aadhar based Information System via Big Data’s MapReduce Framework
Author(s) -
Ashutosh Shankhdhar,
Abhisek Singh
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1116/1/012128
Subject(s) - identification (biology) , big data , computer science , set (abstract data type) , government (linguistics) , identity (music) , subsidy , data science , computer security , data mining , political science , law , linguistics , philosophy , botany , physics , acoustics , biology , programming language
Aadhaar is a 12-digit identification number provided to every Indian individual which also includes children and infants. This is used to identify every Indian individual uniquely. This is issued by UIDAI (The unique Identification Authority of India) for free of cost. This unique identification number carries many wonderful advantages. Firstly, it provides a unique identity to every individual whom everybody can trust, no matter in which state they are, in whole country. This unique number can be used to avail different schemes like Pradhan mantri ujjwala yojna and gas subsidy, to open bank accounts and for other government transactions or benefits. This paper shows the use of Aadhaar data set to answer several queries which can be very useful for the government or the concerned authority in various scenarios. Since the Aadhaar data set of all citizens of Indian is a huge data set, big data with its different methods such as Map and Reduce algorithm is very useful in fetching the required query’s answer in a more efficient and faster way.