Welcome to b‑data

Data Science Services and Infrastructure

About b‑data

b‑data GmbH is a company specialising in Data Science Services and Infrastructure.
Take advantage of our more than 15 years of experience to make your Data Science project a success!

Take a look at Olivier’s skills and professional experience on benz0li.b-data.io.

As an advocate of OSS, we support the Julia programming language, the R Foundation and the FreeBSD Foundation.

Proud Donor

Latest Post


Plumber template

A template for a configurable, date-versioned API with optional API key authentication. It is based on R package plumber, uses config to manage configuration values and renv to create a reproducible environment.

See for yourself: https://r.b-data.ch/plumber-template/__docs__/

Read more
All Posts


Below are the success stories of selected projects. More testimonials.

Data Science

We are interested in your specific use case, wherefore we offer a lean and tailor-made solution.
For a general introduction to Data Science, we recommend DataCamp.

R expertise
Databases with R (DBI, odbc)
Data Exploration (tidyverse)
Data Visualisation (ggplot2)

Probability Distributions (actuar, distr)
Time Series Analysis (zoo, forecast)
Machine Learning (caret, xgboost)

RESTful APIs (plumber, OpenCPU)

Git expertise
Reproducible Data Science with Git
Apply a successful Git branching model

Every customer project is checked-in a Git repository. Credo: The code is yours.
Free access to our Data Science Infrastructure with JupyterLab and GitLab CE included.

We help building your own Data Science stack!

AWS, Azure, GCP

on-premise with

Docker, Kubernetes

R, Python, Julia

RCloud, RStudio
JupyterLab + code-server

Git (GitHub, GitLab)

Check out our Jupyter demo environment at https://demo.jupyter.b-data.ch or run it locally with Docker Desktop.

docker run -it --rm -p 8888:8888 -v $PWD:/home/jovyan glcr.b-data.ch/jupyterlab/r/verse

Run the initial command in an empty directory so that the container populates it.
Visit<token> in a browser to load JupyterLab.


Phone number
Switzerland: +41 44 586 30 72
Denmark: +45 65 74 47 72

Business hours
Monday - Friday: 8:00 - 17:00