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WELCOME TO B-DATA

Data Science Services and Infrastructure




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About b-data Open-source software Data Science Projects Contact Deutsch

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ABOUT B-DATA

b-data is a company specialised in Data Science services on GPU accelerated
computing 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.



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OPEN-SOURCE SOFTWARE

As advocates of OSS, we sponsor the QGIS project, the Julia language, the R
Foundation and the FreeBSD Foundation.



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We devote about 20% of our time to OSS and maintain

dev containers,
docker images and
deployment templates

for Data Scientists, ML/AI Engineers, and the like 🧑‍💻.

We provide Data Science dev containers for use with VS Code (local) and GitHub
Codespaces (web).
🎯 A unified IDE for the Data Science programming languages R, Python, Julia and
Mojo, too.
🔥 Most images are also available in a GPU accelerated (nvidia/cuda-based)
version.

You can find all this for free on GitHub and GitLab!



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Besides, see Olivier’s (benz0li’s) work on GHC musl – Unofficial binary
distributions of GHC on Alpine Linux.
ℹ️ The docker image used to build the statically linked Linux binary releases of
Pandoc.



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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.

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SERVICES

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

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

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INFRASTRUCTURE

We help building your own Data Science software stack!

IaaS
AWS, Azure, GCP

on-premise with
Debian/Ubuntu,
‘Rocky Linux’/RHEL

Virtualisation
Docker, Kubernetes

Languages
R, Python, Julia

IDEs
JupyterLab + code-server
RStudio (on demand)

VCS
Git (GitHub, GitLab)

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DEPLOYMENT

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 http://127.0.0.1:8888/lab?token=<token> in a browser to load JupyterLab.



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PROJECTS

Below are the success stories of selected projects.


AGROSCOPE (2018)


ZKIPSTER (2016)

All Projects


AGROSCOPE (2018)

Photo: Copyright © Agroscope, Gabriela Brändle

SUMMARY

Stricter security policies have increasingly limited the local execution of R
and RStudio at Agroscope. As part of an architecture redesign, IT Agroscope has
decided to centralise these applications.
With RStudio Server and GitLab, b-data GmbH introduced software that is fully
integrated into the architecture. The combination of these applications will
enable researchers to introduce a unified handling of data analyses and create
reproducible results in the future.

Read the full story

CUSTOMER FEEDBACK

> Olivier understood the complex needs of the researchers and was able to fully
> consider them in the integration and operational concept. Of course, the
> migration brought about changes, but overall this resulted in new
> opportunities for scientific data analysis.

– Manuel K. Schneider, Research Group Forage Production and Grassland


ZKIPSTER (2016)

SUMMARY

Years of collecting customer data can result in a valuable asset for companies.
But what to do if the data is not stored in a suitable format for future
projects, or if duplicate data affects quality?
This is precisely the question that zkipster, a start-up in event management
software, posed to b-data. In response Olivier Benz, Managing Director of
b-data, analysed, structured and cleaned up the data.

Read the full story

CUSTOMER FEEDBACK

> We have very quickly gained knowledge important to our company: very specific
> knowledge that did not exist within zkipster, to which we had no access and
> for which we could not afford a full-time employee. Olivier was available at
> the right time, he supported us in a very professional manner and achieved
> great things in a short period.

– David Becker, CEO and Co-Founder



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CONTACT

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

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




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