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Data Science Essentials
Data Science in Production: The Way to a Centralized Infrastructure
June 16, 2021
A joint webinar with eoda and Covestro
This video was recorded in German, with subtitles available in English and German. You can read the English description below.
To exploit the full potential of data science, a proper IT infrastructure is needed. In most companies, developers work locally on their computers and use different versions of programs and packages. In order to pull data science into production, a central infrastructure is needed to improve collaboration and meet compliance requirements.
In this German-speaking webinar the success story of Covestro’s RStudio infrastructure will be presented. The challenge for the leading German material manufacturer was that no common development environment existed. With the help of Eoda and RStudio, a reproducible, centralized development environment for R and Python was created. This project presents a best practice approach to a data science infrastructure using Covestro as an example.
The second half of this 2-hour webinar will be a hands-on workshop that you can follow along with. The instructors will discuss how to use RStudio products with its native git integration and show you multiple approaches on how content can be deployed to RStudio Connect. This will provide your team with an excellent collaborative workflow for building, maintaining and scaling projects in a growing data science environment.
Check out this case study.
Chief Data Scientist & Management at eoda
As Chief Data Scientist and co-founder of eoda GmbH, Oliver Bracht experiences the challenges that companies are facing on a daily basis. He also sees the opportunities that arise from innovative ideas and the willingness to change. His goal being that companies should make more out of their data.
Analytic Infratructure Consultant at eoda
Christian Ewald has been working in the data science and aicon departments of eoda GmbH since 2017. In the area of data science, he works as an R developer, specializing in the development of WebApps with shiny. In the area of aicon he is mostly working on the evaluation and implementation of current infrastructure & DevOps technologies. In his spare time he is interested in operationalization and optimization in the area of cloud computing.
Solutions Engineer | RStudio
Ralf Stubner is a solutions engineer after having worked in engineering and consulting roles in the financial and the IT industry. He is a trained physicist who likes to analyze complex systems.
Data Scientist at Covestro AG
Daniel Schultz sees himself more of a data tinkerer than a data scientist. Within his current position at Covestro Deutschland AG he drives the digitalization of the industry. Besides bringing data science products into production, Daniel focuses on building a vocal data science community and explainable AI. As such he is enhancing the overall data literacy at Covestro.