DigiCens

Authors

  • Shubham Murudkar  Department of Information Technology, Mumbai University, Mumbai, Maharashtra, India
  • Gaurav Pagar  Department of Information Technology, Mumbai University, Mumbai, Maharashtra, India
  • Rohan Hatode  Department of Information Technology, Mumbai University, Mumbai, Maharashtra, India
  • Prof. Sachin Barahate  Department of Information Technology, Mumbai University, Mumbai, Maharashtra, India

Keywords:

Android, Census, Hadoop, Java, Map Reduce, Sqoop.

Abstract

Now-a-days the government employees has to come to house and gathered information or details of the particular family on a book or some information sheets and after collecting details they'll pass it to particular BMC office and then proceed on. To resolve such kind of problem we want to create another method to work where it help us to directly pass all those information to the main office instead of passing to local BMC office. So DIGICENS is the solution for this as it is a digitized way of calculating the census or population with the help of modernized technology instead of doing it manually on sheets or papers.

References

  1. Apache Hadoop http://hadoop.apache.org
  2. https://www.mssqltips.com/sqlservertip/3262/bigdata-basics--part-6--related-apache-projects-inhadoop-ecosystem
  3. http://www.census.gov/data/data-tools.html
  4. http://developer.android.com
  5. https://www3.ntu.edu.sg/home/ehchua/programming/java/j4a_gui.html

Downloads

Published

2017-04-30

Issue

Section

Research Articles

How to Cite

[1]
Shubham Murudkar, Gaurav Pagar, Rohan Hatode, Prof. Sachin Barahate, " DigiCens, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.461-464 , March-April-2017.