SYSTEM FOR BATCH PROCESSING AND VISUALIZATION OF FORMULA 1 BIG DATA TELEMETRY

Authors

  • Aleksa Vučaj Autor

DOI:

https://doi.org/10.24867/23BE31Vucaj

Keywords:

Big data batch processing, Data visualization, Formula 1, Apache Spark, Big data

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/

Published

2023-07-09

Issue

Section

Electrotechnical and Computer Engineering