Fast Cars, Big Data - How Streaming Can Help Formula 1


Modern race cars produce lot of data, and all this in real time. In this presentation I will show you how data could be generated and used by various applications in the car, on the track or team head quarter. The demonstration will show how to move data using messaging systems like Apache Kafka, process the data using Apache Spark and use various storage technics: Distributed File System, NoSQL Database. This presentation is a great opportunity to see how to build a " near real time big data application". The code from this talk will be made available as open source.

Language: English

Level: Intermediate

Tugdual Grall

Technical Evangelist - MapR Technologies

Tugdual Grall is a Technical Evangelist at MapR, an open source advocate and a passionate developer. He currently works with the European developer communities to ease MapR, Hadoop and NoSQL adoption. Before joining MapR, Tug was Technical Evangelist at MongoDB and Couchbase. Tug has also worked as CTO at eXo Plaform and JavaEE product manager, and software engineer at Oracle. Tugdual is Co-Founder of the Nantes JUG (Java User Group) that holds since 2008 monthly meeting about Java ecosystem. Tugdual also writes a blog available at

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