Integrating Jupyter notebooks with OpenShift cloud services allows data scientists to get started quickly, without having to understand or manage any of the OpenShift infrastructure details. This video demonstrates the service binding between a Jupyter notebook and the Red Hat OpenShift Database Access connection to database cloud services. This allows a notebook user to access database instances without ever leaving their notebook to obtain credentials. The recipe described in this video assumes that the Kubeflow Notebook Controller has been installed on your OpenShift cluster, and you have a basic working knowledge of OpenShift, Jupyter Notebooks and RHODA.


For folks wanting to try it on their own, the Jupyter Notebooks referred to in the video are available in the rhoda-notebook-controller Github repository. This video is meant as a follow on video to Red Hat OpenShift Database Access admin/developer workflows explained here:

To learn more about OpenShift Data Science you can read the blog or visit to try it out.


Data Science, Developers, devops, RHODA, IT Ops, Jupyter

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