Run a notebook on JupyterHub

Prerequisites

No. 1 Access to My DataLake Services in general

You need to have access to My DataLake Services in general (have a profile, create a project, invite users etc.).

List of articles about My DataLake Services

No. 2 Access to Hook Services in particular

How to request roles for JupyterHub on My DataLake Services

Choose a Web browser of your choice and access the JupyterHub service via

https://jupyter.central.data.destination-earth.eu/

Use the Sign in with DestinE IdP button to login to the STACK JupyterHub service.

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Use DESP OpenID to authenticate with your DESP user credentials. Click the “Authenticate” button to be redirected to sign-in via DESP.

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Enter your Email (username) and password and click Sign In. After successful authentication, you will be redirected to the STACK JupyterHub service.

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Now you can select one of the given options to run a pre-configured JupyterLab environment.

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Selecting the first option will create you a fully configured environment with easy access to a users home directory holding example notebooks for further reuse.

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A fresh new notebook can be launch via the Launcher application in the spawned JupyterLab. Therefore, click on Python DEDL in the notebook section of the launcher to get a ready to use notebook.

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An empty notebook will now be presented, connected to the Python DEDL kernel, containing a set of pre-installed Python packages to utilise the DestinE service offering.

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The collection of Jupyter example notebooks on How to use the DestinE Data Lake services can be found at Destination Earth on Github.