Building Reproducible Pipelines with R, Docker and Nix
R-Ladies Rome
Registered Attendees (117)
Second July 2024’s speaker is Dr. Bruno Rodrigues, Head of the Statistics Department at the Ministry of Research and Higher Education in Luxembourg. Before joining the public sector, Dr. Rodrigues gained extensive experience as a data science consultant and research assistant. His expertise spans tools and techniques critical for building robust, reproducible data pipelines.
In this enlightening talk, Dr. Rodrigues delves into essential tools and best practices for developing reproducible workflows. He provides a comprehensive overview of moving away from traditional script-based approaches and introduces Docker for containerizing analyses and Nix for managing packages. By the end of the session, attendees will be equipped with the knowledge to start implementing powerful reproducible pipelines in their own analyses.
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Creating reproducible data pipelines can be challenging but is crucial for maintaining the integrity and efficiency of data workflows. This talk aims to demystify the process and offer practical advice for leveraging modern tools to ensure consistency and reliability in data analysis.
Material of the Talk:
- Presentation: https://is.gd/raps_rladies_rome_2024
- GitHub Repo: https://github.com/b-rodrigues/rladies_rome_repro_2024
- Book: https://raps-with-r.dev/
More Resources:
- https://b-rodrigues.github.io/rix/
- https://books.ropensci.org/targets/
- https://docs.ropensci.org/targets/
- https://rocker-project.org/
- https://github.com/nixos/nixpkgs
- https://podman.io/