Races are won on the track
Championships are won in factories
Factories run on data
For the racer in you. And the data architect.
Analyze every performance, driver, constructor, tire, brake, throttle, DRS, acceleration, gear, speed, lap time, sector time, and rev counter from every lap of every qualifying session and every race over the past eight years — in the most glamorous sport on the planet!
And then learn how we built the infrastructure to deal with many billions of data points...
Factory Data
Eight years and billions of discrete data points that tell the story of modern Formula 1
173 Grand Prix
19 Constructors
Quarter of a Million Laps
43 Drivers
7,500 Sessions
3.3 Billion Telemetry Data Points
Performance Matters
Six billion simulations per race
The sheer amount of data that is updated in almost real-time from over 300 sensors on each F1 car presents both significant opportunities for analysis and material challenges in how to store that data.
Inserting and updating document (JSON) databases with discrete values at this volume is not feasible. But neither is extracting, shaping, and analyzing fully-normalized data when front-end components (such as charts) require JSON structures at scale.
And maintaining & synchronizing mutliple data stores is a fragile approach at best, and a data management car crash at worst. In any case, that approach will crack at some point under pressure.
On this scale, creating probablity density functions and stochastic processes (along with generating trillions of random numbers in the aptly named 'Monte Carlo' simulations) is not something that can be achieved with simpe web app code, be that JavaScript, Java, C#, Python, or PHP.
That's why we want to show you how to leverage technology such as JSON/Relational Duality from Oracle AI Database 26ai. And then how to master Internet of Things (IoT) frameworks and Oracle Cloud Infrastructure (OCI) for Monte Carlo simulations.
Start exploring the entire data set. And then start learning how to build for high performance!
Sneak peek
Watch the video. Then explore the entire data set and start learning how to build for high performance!