Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Fast cars, big data: How streaming data can help Formula 1

Ted Dunning (MapR, now part of HPE)
5:25pm–6:05pm Wednesday, 09/28/2016
IoT & real-time
Location: 1 E 12/1 E 13 Level: Intermediate
Tags: iot
Average rating: ****.
(4.00, 2 ratings)

Prerequisite knowledge

  • Basic programming skills
  • An appreciation of motorsports (just kidding)
  • 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.

    Photo of Ted Dunning

    Ted Dunning

    MapR, now part of HPE

    Ted Dunning is the chief technology officer at MapR, an HPE company. He’s also a board member for the Apache Software Foundation, a PMC member, and committer on a number of projects. Ted has years of experience with machine learning and other big data solutions across a range of sectors. He’s contributed to clustering, classification, and matrix decomposition algorithms in Mahout and to the new Mahout Math library and designed the t-digest algorithm used in several open source projects and by a variety of companies. Previously, Ted was chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems and built fraud-detection systems for ID Analytics (LifeLock). Ted has coauthored a number of books on big data topics, including several published by O’Reilly related to machine learning, and has 24 issued patents to date plus a dozen pending. He holds a PhD in computing science from the University of Sheffield. When he’s not doing data science, he plays guitar and mandolin. He also bought the beer at the first Hadoop user group meeting.

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    Picture of Ted Dunning
    Ted Dunning
    10/05/2016 1:33pm EDT

    I posted the slides to my speaker’s account today, per Sophia’s suggestion. Presumably, that means that the slides will go up on the Strata website shortly.

    Picture of André Morrow
    André Morrow
    10/04/2016 12:55pm EDT

    All Strata + Hadoop World 2016 slide presentations have been posted if they were made available to us by the speakers.

    10/03/2016 10:01pm EDT

    Could you share the Presentation Slides?