Smart Cities, Smarter Data: Optimizing Urban Infrastructure and Services Through Big Data Analytics with Large Datasets

Smart Cities, Smarter Data: Optimizing Urban Infrastructure and Services Through Big Data Analytics with Large Datasets

Manesh M

Final year student, Dept of CSE,

Sea College of Engineering & Technology

Dr Smitha Kurian

Professor & HOD, Dept of

CSE HKBKCollege of

 Engineering &

Technology

Dr Krishna Kumar P R

Professor & HOD, Dept of

CSE SEA College of

 Engineering &

Technology

Abstract: - The rapid growth of urban populations has led to complex challenges in managing infrastructure and public services. Smart cities leverage advanced technologies to address these issues, with Big Data Analytics (BDA) playing a pivotal role in transforming urban living. This paper explores how BDA can optimize urban infrastructure and services by analyzing large datasets from diverse sources such as IoT devices, traffic sensors, energy grids, and social media. Through real-time data processing and predictive analytics, cities can improve resource allocation, enhance public safety, reduce environmental impact, and foster sustainable development. The study highlights key methodologies, including data mining, machine learning algorithms, and visualization techniques, which enable cities to make informed decisions. Additionally, it examines case studies demonstrating the successful implementation of BDA in smart cities worldwide. The paper concludes with insights into the future of smart cities, emphasizing the importance of data governance, privacy, and ethical considerations in harnessing the full potential of Big Data for urban optimization.

Keywords: Big Data Analytics, Smart Cities, Urban Infrastructure, Urban Services, Data Integration, Real-time Data, Sustainability, Urbanization, Data Privacy, Public Safety.