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Information Systems Design and Intelligent Applications pp 659–667Cite as

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

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 340))

Abstract

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.

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Authors and Affiliations

  1. Department of Business Administration, University of Kalyani, Kalyani, India

    Manas Kumar Sanyal, Sudhangsu Das & Sajal Bhadra

Authors
  1. Manas Kumar Sanyal
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  2. Sudhangsu Das
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  3. Sajal Bhadra
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Corresponding author

Correspondence to Manas Kumar Sanyal .

Editor information

Editors and Affiliations

  1. University of Kalyanai, Kalyanai, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Anirban Mukhopadhyay

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© 2015 Springer India

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Sanyal, M.K., Das, S., Bhadra, S. (2015). BIG Data Analysis for Indian e-Governance Projects—A Proposed Framework to Improve Real Time Reporting. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 340. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2247-7_67

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  • DOI: https://doi.org/10.1007/978-81-322-2247-7_67

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2246-0

  • Online ISBN: 978-81-322-2247-7

  • eBook Packages: EngineeringEngineering (R0)

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