Big Data Analytics for Smart City Infrastructure Management explores the utilization of advanced data analysis techniques to optimize the management and operation of smart city infrastructure. With the rapid urbanization and the increasing complexity of urban systems, the ability to harness big data has become crucial for effective infrastructure planning and maintenance. This paper delves into the current state of big data analytics in smart city infrastructure, highlighting its potential benefits and challenges. Key areas of focus include the integration of diverse data sources, real-time monitoring, predictive maintenance, and decision-making support. By utilizing big data analytics, cities can achieve greater efficiency, sustainability, and resilience. However, the paper also acknowledges the need for addressing privacy concerns, data security, and the development of robust data governance frameworks. This research aims to provide insights into the role of big data analytics in shaping the future of smart city infrastructure management.
Brown, E. Big Data Analytics for Smart City Infrastructure Management. Information Sciences and Technological Innovations, 2020, 2, 11. https://doi.org/10.69610/j.isti.20200821
AMA Style
Brown E. Big Data Analytics for Smart City Infrastructure Management. Information Sciences and Technological Innovations; 2020, 2(2):11. https://doi.org/10.69610/j.isti.20200821
Chicago/Turabian Style
Brown, Emily 2020. "Big Data Analytics for Smart City Infrastructure Management" Information Sciences and Technological Innovations 2, no.2:11. https://doi.org/10.69610/j.isti.20200821
APA style
Brown, E. (2020). Big Data Analytics for Smart City Infrastructure Management. Information Sciences and Technological Innovations, 2(2), 11. https://doi.org/10.69610/j.isti.20200821
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