Serverless data processing and forecasting system using cloud computing

Dhananjay Adikane; Dr. Odelu Ojjela

doi:10.30574/ijsra.2025.15.2.1394

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Serverless data processing and forecasting system using cloud computing

Dhananjay Adikane ^{1, *} and Dr. Odelu Ojjela ²

¹ Department of Applied Mathematics (Data Science) Defence Institute of Advanced Technology (DIAT), Pune, India.

² Department of Applied Mathematics, Defence Institute of Advanced Technology (DIAT), Pune, India.

Research Article

International Journal of Science and Research Archive, 2025, 15(02), 706-711

Article DOI: 10.30574/ijsra.2025.15.2.1394

DOI url: https://doi.org/10.30574/ijsra.2025.15.2.1394

Publication history

Received on 01 April 2025; revised on 11 May 2025; accepted on 14 May 2025

Abstract

This paper presents a serverless data processing architecture designed for real-time weather forecasting using Google Cloud Functions, BigQuery, and integrated machine learning models. The system enables scalable ingestion of weather data, efficient storage, and dynamic visualization through an interactive dashboard. In addition to predictive analytics for temperature, AQI, and humidity, the system includes cost opti- mization techniques and real-time alerts. This work highlights the benefits of serverless computing for data-intensive applications and offers a practical, low-latency solution suitable for smart city and environmental monitoring use cases.

Keywords

Serverless Computing; Google Cloud Platform; Cloud Functions; BigQuery; Machine Learning; Weather Fore- casting; Real-time Dashboard; Cost Optimization

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How to cite this article

Dhananjay Adikane and Dr. Odelu Ojjela. Serverless data processing and forecasting system using cloud computing. International Journal of Science and Research Archive, 2025, 15(02), 706-711. Article DOI: https://doi.org/10.30574/ijsra.2025.15.2.1394.

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