Big Data In E-Governance Management
Harshita Saluja1 , Pallavi Asthana2 , Sumita Mishra3 , Sachin Kumar4 , Bramah Hazela5
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-12 , Page no. 321-325, Dec-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i12.321325
Online published on Dec 31, 2018
Copyright © Harshita Saluja, Pallavi Asthana, Sumita Mishra, Sachin Kumar, Bramah Hazela . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Harshita Saluja, Pallavi Asthana, Sumita Mishra, Sachin Kumar, Bramah Hazela, “Big Data In E-Governance Management,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.321-325, 2018.
MLA Style Citation: Harshita Saluja, Pallavi Asthana, Sumita Mishra, Sachin Kumar, Bramah Hazela "Big Data In E-Governance Management." International Journal of Computer Sciences and Engineering 6.12 (2018): 321-325.
APA Style Citation: Harshita Saluja, Pallavi Asthana, Sumita Mishra, Sachin Kumar, Bramah Hazela, (2018). Big Data In E-Governance Management. International Journal of Computer Sciences and Engineering, 6(12), 321-325.
BibTex Style Citation:
@article{Saluja_2018,
author = {Harshita Saluja, Pallavi Asthana, Sumita Mishra, Sachin Kumar, Bramah Hazela},
title = {Big Data In E-Governance Management},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {321-325},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3336},
doi = {https://doi.org/10.26438/ijcse/v6i12.321325}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.321325}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3336
TI - Big Data In E-Governance Management
T2 - International Journal of Computer Sciences and Engineering
AU - Harshita Saluja, Pallavi Asthana, Sumita Mishra, Sachin Kumar, Bramah Hazela
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 321-325
IS - 12
VL - 6
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
Large amount of data produced through humans, machines and automated system can be monitored for improving the efficiency of systems. This data can be real time monitored through Big Data analysis. Big Data could be structured, unstructured or semi-structured and is characterized by Volume, Velocity, Variety, Veracity and Value. The data is novel, dynamic, and scalable. Data analysis performed on Big Data can be highly useful in E-governance. This paper explores the five ways in which big data is characterized, methods of its classification, Big data management and its role in effective implementation of e-governance like education, health care, revenue etc., where huge amount of data is generated. This data is useful in understanding the factors that can be monitored and analyzed for improvement and betterment of current policies initiated by government.
Key-Words / Index Term
Big Data, Dynamic, Scslable, Data Silos, E-governance
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