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This project implements a real-time data pipeline with Kafka, Spark, and MongoDB. It generates vehicle data using UXSIM, streams it to a Kafka broker, processes it with Spark, and stores raw and processed data in MongoDB. Queries analyze vehicle counts, speeds, and routes over specified periods.

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miltiadiss/CEID_NE4348-Big-Data-Management-Systems

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anim_network_fancy

This project is part of Big Data Management Systems elective course in Computer Engineering & Informatics Department of University of Patras for Spring Semester 2024 (Semester 8).

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This project implements a real-time data pipeline with Kafka, Spark, and MongoDB. It generates vehicle data using UXSIM, streams it to a Kafka broker, processes it with Spark, and stores raw and processed data in MongoDB. Queries analyze vehicle counts, speeds, and routes over specified periods.

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