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There's no point being a data scientist if your work never makes it to production. This session explores a solution for getting your code live, scalable, and easily managed.

Covering models, dashboards, and other products built in R, you'll look at how Docker containers can make managing dependencies a breeze, allow your code to be hosted anywhere, and have it work in high-scale systems.

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• Introduction to Docker Fundamentals (in London on 24th - 25th September 2018)
• Real-time Systems with Spark Streaming and Kafka (in London on 6th - 7th December 2018)