国家电子政务规划大数据框架

M. R Rajagopalan, Solaimurugan Vellaipandiyan
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引用次数: 33

摘要

世界正在走向数字化。在印度,中央和各邦政府正稳步迈向所有政府部门、计划和服务的数字化。由于人们的意识和网络访问的可用性的出现,电子政务应用程序的使用有所增加。结果,数据不断增加,这些数据的大小日复一日地呈指数级增长——量。来自电子政务服务的半结构化和非结构化数据,如土地记录的计算机化,患者健康记录通常以电子记录的形式出现。处理和共享这些记录是困难的传统方法-多样性。国防、犯罪和警察部门控制着不断增加的恐怖袭击威胁和不断上升的犯罪图表。它包括诸如创建和共享与犯罪有关的实时数据——速度。收集和处理大量数据并不是什么新鲜事。新的是处理数据的速度,以及从混乱的数据中提取可操作的商业智能或关键任务的速度——复杂性。开源大数据技术-使用No-SQL数据库,Hadoop和MapReduce来处理这些大容量和异构数据。在本文中,我们提出了一个模型,该模型说明了大数据如何通过提高电子政务服务的效率和有效性以及公民参与决策来实现政府的转型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data framework for national E-governance plan
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.
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