Electrotechnical and Computer Engineering
Vol. 38 No. 07 (2023): Proceedings of Faculty of Technical Sciences
SYSTEM FOR BATCH PROCESSING AND VISUALIZATION OF FORMULA 1 BIG DATA TELEMETRY
Abstract
In this paper, we present a system for batch processing and visualization of Formula 1 telemetry data. The goal of this system is to facilitate easier processing and visualization of Formula 1 telemetry data. To achieve this, a system designed for batch processing was implemented. Main features of the system are that the system can work independently with the help of a job orchestrator, which fetches and processes data after every race, as well as visualization of processed data.
References
[1] theOehrl. (2022). FastF1 Documentation [Onlajn]. Dostupno na: https://theoehrly.github.io/Fast-F1/
[2] Packt. (2022). Distributed batch processing [Onlajn]. Dostupno na: https://subscription.packtpub.com/-book/big-data-and-business-intelligence/9781784391409/1-/ch01lvl1sec13/distributed-batch-processing.
[3] ProjectPro. (2023). Apache Flink vs Spark - Will one overtake the other? [Onlajn] Dostupno na: https://www.projectpro.io/article/apache-flink-vs-spark-will-one-overtake-the-other/282.
[4] Vaidja, N. (2022). Apache Spark Architecture - Spark Cluster Architecture Explained [Onlajn]. Dostupno na: https://www.edureka.co/blog/spark-architecture/