DocumentCode :
3474156
Title :
Big data framework for national E-governance plan
Author :
Rajagopalan, M.R. ; Vellaipandiyan, Solaimurugan
Author_Institution :
Centre for Dev. of Adv. Comput., NRC-FOSS, Chennai, India
fYear :
2013
fDate :
20-22 Nov. 2013
Firstpage :
1
Lastpage :
5
Abstract :
The world is moving towards digitization. In India central and state governments are steadily moving towards digitizing all the government departments, scheme and services. Due to the awareness of people and availability of network access that emerges, use of E-governance application has increased. As a result data is getting added and size of these data is increasing exponentially day after day - Volume. Semi-structured and Un-structured data from E-governance service like computerization of land records, Patient health records are most often in the form of electronic records. Processing and sharing of these records are difficult by traditional approach - Variety. Defense, crime and police service control the ever-increasing threats of terror attacks and of continually ascending crime graphs. It includes aspects such as creation of- and sharing of- crime-relate real time data - Velocity. Gathering and processing of vast amounts of data is not new. What is new is the speed at which one can process that data and extracting actionable business intelligence or mission critical from messy data - Complexity. Open source big data technology - No-SQL databases, Hadoop and MapReduce are used to handle these large volumes and heterogeneous data. In this paper we present the model that illustrates how big data can result in the transformation of the government by increased efficiency and effectiveness in the e-governance service with citizen engagement in decision making.
Keywords :
Big Data; government data processing; parallel programming; Big Data framework; Hadoop; India; MapReduce; No-SQL databases; central governments; citizen engagement; data creation; data gathering; data processing; data sharing; data size; decision making; e-governance application; electronic governance; electronic records; government departments; government scheme; government services; heterogeneous data; national e-governance plan; records processing; records sharing; semi-structured data; state governments; unstructured data; Data handling; Data models; Data storage systems; Decision making; Government; Information management; No-SQL database; big data analytics framework; e-governance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT and Knowledge Engineering (ICT&KE), 2013 11th International Conference on
Conference_Location :
Bangkok
ISSN :
2157-0981
Print_ISBN :
978-1-4799-2294-9
Type :
conf
DOI :
10.1109/ICTKE.2013.6756283
Filename :
6756283
Link To Document :
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