Xomnia is a word combining the letter ‘X’ – the unknown – and “Omnia” – Latin for everything. Our team of data scientists and big data engineers are trained to find the undefined – X – in all the relevant data sources – Omnia. This unknown – X – is untapped business value. Combining the X and Omnia you get the Xomnia spirit. Eager, curious and dedicated people, who have the belief that the future is big data.
“It works on my machine”. There can be lots of friction when developing, deploying and running code in a production system. The discrepancy between environments can lead to non-deterministic results. Docker puts all your applications along with their environment into containers so they can easily be shipped to production, solving a whole range of other problems, such as reliability, scalability, reproducibility.
This course takes a hands-on approach to teach the essentials of Docker, with focus on the data scientist’s workflow. You will create your own Dockerfiles, build docker images and spin-up some containers, so that you can feel confident to say, that your analytics results are reproducible by other data scientists and that your predictive models are easy to deploy.
Requirements: The course requires basic knowledge of the command line and bash scripting.