BIG Data Analysis for Indian e-Governance Projects—A Proposed Framework to Improve Real Time Reporting

  • Manas Kumar Sanyal
  • Sudhangsu Das
  • Sajal Bhadra
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 340)


Transaction volume per day in Indian e-Governance projects are growing constantly due to popularity and acceptability of the e-Governance applications among common citizens. This constant growth of e-Governance data size is referring e-Governance projects as a potential candidate for doing BIG data analysis. BIG data technologies stack enable application stake holders to get faster analytical report from huge amount of historical data, even from unstructured database. Now-a-days, Most of the enterprise drivers have chosen BIG data technology to get the ability for dealing vast amount of data efficiently in order to bring significant business insight, which may lead to take better business decision. In e-Governance, this kind of analytical report could help to Government policy maker to take more corrective decision towards developing Indian society; thus technology could be used for the mankind of Indian Society. In this study, authors have proposed a framework for Indian e-Governance projects BIG data platform. Hadoop, PDW, SSRS, SSAS and SharePoint would be selected technology in the proposed framework to design the complete BIG data platform for Indian e-Governance.


BIG data SDC Hadoop ICT e-Governance 


  1. 1.
    IBM Global Business Services in collaboration with Saïd Business School at the University of Oxford: Analytics: the real-world use of big data. IBM Big Data Hub (2012)Google Scholar
  2. 2.
    Prasad, A., Chaurasia, S., Singh, S., Gour, D.: Mapping cloud computing onto useful e-Governance. Int. J. Comput. Sci. Inf. Secur. 8 (5), (2010)Google Scholar
  3. 3.
    Sharma, R., Kanungo, P.: An intelligent cloud computing architecture supporting e-Governance. In: Proceedings of the 17th International Conference on Automation and Computing. University of Huddersfield, Huddersfield, UK, 10 Sept 2011Google Scholar
  4. 4.
    Tsai, W., SUN, S., Balasooriya, J.: Service-oriented cloud computing architecture. In: Seventh International Conference on Information (2010) Google Scholar
  5. 5.
    Guo, Z., Song, M., Song, J.: Governance model for cloud computing. In: International Conference on Management and Service Science (MASS). IEEE (2010)Google Scholar
  6. 6.
    Masud, A.H., Huang, X.: Cloud computing for higher education: a roadmap. In: Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (2012)Google Scholar
  7. 7.
    Rastogi, A.: A model based approach to implement cloud computing in e-Governance. Int. J. Comput. Appl. (0975–8887) 9(7), (2010)Google Scholar
  8. 8.
    Zissis, D., Lekkas, D.: Securing e-Government and e-Voting with an open cloud computing architecture. Gov. Inf. Quarterly 28, 239–251 (2011)CrossRefGoogle Scholar
  9. 9.
    Mukherjee, K., Sahoo, G.: Cloud computing: future framework for e-Governance. Int. J. Comput. Appl. (0975–8887) 7(7), (2010)Google Scholar
  10. 10.
    Cellary, W., Strykowski, S.: e-Government based on cloud computing and service-oriented architecture. In: Proceedings of the 3rd International Conference on Theory and Practice of Electronic Governance, ICEGOV 2009. Bogota, Columbia, 10–13 Nov 2009Google Scholar
  11. 11.
    Dwivedi, S.K.. Bharti, A.K.: e-governance in India—problems and acceptability. J. Theor. Appl. Inf. Technol.Google Scholar
  12. 12.
    Shirin, M.: e-Governance for Development. Plangrave Macmillan, London (2009)Google Scholar
  13. 13.
    Department of Electronics and Communication Technology. Retrieved from

Copyright information

© Springer India 2015

Authors and Affiliations

  • Manas Kumar Sanyal
    • 1
  • Sudhangsu Das
    • 1
  • Sajal Bhadra
    • 1
  1. 1.Department of Business AdministrationUniversity of KalyaniKalyaniIndia

Personalised recommendations