Big Data Models and the Public Sector

Big Data Models and the Public Sector

N. Nawin Sona (Government of India, India)
Copyright: © 2016 |Pages: 22
DOI: 10.4018/978-1-4666-9649-5.ch014
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Abstract

This chapter aims to give an overview of the wide range of Big Data approaches and technologies today. The data features of Volume, Velocity, and Variety are examined against new database technologies. It explores the complexity of data types, methodologies of storage, access and computation, current and emerging trends of data analysis, and methods of extracting value from data. It aims to address the need for clarity regarding the future of RDBMS and the newer systems. And it highlights the methods in which Actionable Insights can be built into public sector domains, such as Machine Learning, Data Mining, Predictive Analytics and others.
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Background

The newer Big Data technologies now enable the public sector to understand the patterns, and the ecosystem generating it, model the data, enable analytics, and in effect, extract actionable insights and eventually achieve prescriptive models. Various surveys, such as the World Economic Forum’s “Global Information Technology Report 2014”, have shown that there are effective and potential use cases of Big Data in public sector in improving Citizen Services, Medicine, Public Health, Education, Crime Mapping and prediction, emergencies such as epidemics, natural calamities and terrorist attacks, Urban Planning, Utilities planning, Power grid load balancing, Smart Cities, Smart Buildings, Predictive Modeling in fraud detection. Big Data also, has the potential for data driven policy making.

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