Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{180914,
        author = {Inderjit singh and Er. Rohit Kumar and Anchal Singh},
        title = {Cloud-Based Big Data Analytics for Smart Cities},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3782-3784},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180914},
        abstract = {As cities around the world continue to expand, the amount of data generated daily by urban environments has increased dramatically. This includes data from sectors such as transportation, energy, environmental monitoring, public safety, and citizen engagement. Proper analysis of this 'big data' can help cities become smarter, more efficient, and more sustainable. However, dealing with such large and diverse data sets presents challenges, including storage, processing speed, and extracting useful insights. Cloud computing provides the flexibility, scalability, and power required to manage and analyze big data effectively. This paper explores how a cloud-based system, using tools like Hadoop and Spark, can help cities handle big data. A case study of the city of Bristol's open data platform is used to demonstrate the approach. The results show that cloud platforms like Spark are effective in managing data and producing useful insights for planning and development. This approach has great potential to support urban decision-making and improve quality of life in cities around the world.},
        keywords = {},
        month = {August},
        }