Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Singapore

Fast cars, big data: The Internet of Formula 1 Things

Asit Parija (MapR Technologies)
12:00pm–12:30pm Tuesday, December 6, 2016
DCS
Location: 308/309 Level: Intermediate
Tags: iot, sports
Average rating: ****.
(4.00, 1 rating)

Prerequisite Knowledge

  • A general understanding of big data systems concepts (useful but not required)

What you'll learn

  • Learn why simulation is an excellent way to generate realistic data similar to that generated by real systems
  • Explore how streaming data systems can do difficult things in impressively simple ways

Description

Modern cars produce data. Lots of data. And Formula 1 cars produce more than their fair share. Ted Dunning presents a demo of how data streaming can be applied to the analytics problems posed by modern motorsports. Although he won’t be bringing Formula 1 cars to the talk, Ted demonstrates a high-fidelity, physics-based automotive simulator to produce realistic data from simulated cars running on the Spa-Francorchamps track. As Ted moves data from the cars to the pits to the engineers back at HQ, the result is near real-time visualization and comparison of performance and a great exposition of how to move data using messaging systems like Kafka.

The code from this talk will be made available as open source.

Asit Parija

MapR Technologies