Real-Time Data Integration for Smart City Planning

As a rapidly growing company in the urban planning sector, we are facing challenges in integrating diverse data streams to support smart city initiatives. We require a data engineering solution that enables real-time data collection, transformation, and analysis. The project involves setting up an infrastructure that leverages event streaming with Apache Kafka, supports ETL processes using Airflow, and utilizes data warehousing solutions like Snowflake or BigQuery. The goal is to facilitate a seamless data flow from various city sensors, public transport data, and socio-economic datasets. This integrated approach will underpin data-driven decision-making for urban planners, ensuring more efficient resource allocation and improved city livability. The solution must be scalable, supporting future data sources and analytics tools, and incorporate data observability to maintain high data quality and reliability. Implementing this system will empower our planners to execute better-informed decisions, ultimately transforming how urban environments are managed and developed.