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An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge project in Java.

Java project   Last updated on - January 5, 2020
Kalaiselvi Elumalai
Kalaiselvi Elumalai
php java big data Html Css Javascript Jquery 
3 Reviews
5
4733 View
194 Downloads
 4733
 1
 194

In this page An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge project is a desktop application which is developed in Java platform. This Java project with tutorial and guide for developing a code. An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge is a open source you can Download zip and edit as per you need. If you want more latest Java projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a Eclipse IDE. Following Java project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Kalaiselvi Elumalai. This desktop application 100% working smooth without any bug. It is developed using hadoop and Database hdfs. This software code helpful in academic projects and research paper for final year computer science. To download An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge project in Java with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

About project

project Name

An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge

Project Complexityadvanced
Duration15 Days
project ID2241
Developer NameKalaiselvi Elumalai
Publish DateJanuary 5, 2020
project PlatformJava
Programming LanguageFor this particular Java project, hadoop is required
Front EndJavaFX and Swing, HTML, CSS, JavaScript
Back EndMySQL, PostgreSQL, Oracle Database, MongoDB
IDE ToolEclipse
Database Integrationhdfs
project Typedesktop Application
No of project Download194
project Total View4733
Today Trends52
Current Month Trends56
Last Month Trends7

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Features of the An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge project

We will implement the following feature in the Java An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge Project:
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.

User modules and function of An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge

We will implement the following functionalities in the Java An Anatomization Of Aadhaar Card Data Set – A Big Data Challenge Project:

Software requirement to run this project

IDE : Eclipse, IntelliJ IDEA, NetBeans, Oracle JDeveloper, Visual Studio Code (VS Code), BlueJ, JDeveloper Programming Languages and Frameworks : Java 20, Java 22 Database : MySQL, PostgreSQL, Oracle Database, MongoDB, Maria DB (depending on the project's data requirements) Application Servers : Apache Tomcat, Jetty, or others depending on deployment needs

Hardware requirement to run this project

Processor : A multi-core processor ( Intel Core i5 or i7, AMD Ryzen 5 or 7) for faster compilation and running IDE smoothly. RAM : Minimum requirements 8GB RAM is recommended for comfortable development. More RAM (16GB or higher) may be beneficial for larger projects or if running multiple applications simultaneously. Storage : SSD for fast read/write, HDD Operating System : Windows, macOS, Linux

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  • This project Ideal for Academic Projects Perfect for B.E., B.Tech, MCA, BCA, BSc CS, and IT students
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Creating diagrams like Class Diagrams, Use Case Diagrams, Entity–Relationship (ER) Diagrams, Data Flow Diagrams (DFD), and Sequence Diagrams is essential for designing and understanding software systems. Here’s a proper guide to help you get started with each type:

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