Real-time Data Pipeline for Urban Infrastructure Optimization

In the rapidly evolving landscape of municipal services, our enterprise faces the challenge of efficiently managing urban infrastructure amidst growing data volumes from various sources, including sensors, IoT devices, and public feedback. This project aims to develop a real-time data pipeline leveraging technologies such as Apache Kafka for event streaming, Spark for processing, and Snowflake for data warehousing. The pipeline will enable seamless data flow and processing, facilitating immediate insights into urban infrastructure utilization and performance. By implementing a data mesh architecture, the project seeks to decentralize data ownership, allowing departments to access and leverage data independently. Moreover, incorporating MLOps will enhance predictive analytics capabilities, enabling proactive resource allocation and maintenance scheduling. The pipeline will also feature data observability tools to monitor data quality and system performance, ensuring the reliability and accuracy of insights. Through this project, the municipal services company aims to improve service delivery, reduce operational costs, and enhance citizen satisfaction.