Data Science Workbench
On-Demand Data Processing
The Data Science Workbench of the ADVANEO data marketplace is a collection of tools for data processing.
Currently, the Workbench offers a Jupyter Notebook, which is operated in the cloud of ADVANEO. Each user has an individual workbench at his disposal, on which he can easily integrate data directly from the data marketplace or from external sources.
Currently the workbench supports projects in Python 3, Julia 1.0.1, R and Ruby 2.5.1.
Common Data Science libraries are preinstalled for all kernels. This list can also be extended dynamically according to requirements.
In the near future the implementation of further common data processing tools (Anaconda, Tensorsflow, H2O, Knime, …) into the marketplace is planned.
Using the Workbench
To access the Workbench, click on the “Workbench” button (WB symbol) in the navigation bar.
After clicking, you will get to the notebook overview. If you are not yet familiar with a notebook, you can open the file “Jupyter Introduction” in the Examples/Basics folder, which introduces you to the topic. This folder also contains tutorials for the introduction to the languages Python and R. You can find application examples for data analysis in “Live Examples”.
Set up Work Structure for Data Projects
If you add data automatically from the marketplace using the “Add to Workbench” button, the data is stored in the “Workbench Data” folder. You can add your own files to the Workbench using the “Upload here” button in the Notebook overview.
Now you can set up your own work structure and start with your data projects.
