This is a website for an H2020 project which concluded in 2019 and established the core elements of EOSC. The project's results now live further in www.eosc-portal.eu and www.egi.eu

The EGI Notebooks for interactive analysis of data using EGI storage and compute services

When: 
Tuesday, March 19, 2019 - 15:00 to 16:00
Description: 

The EGI Notebooks is an 'as a Service' environment based on the Jupyter technology, offering a browser-based, scalable tool for interactive data analysis. The EGI Notebooks environment provides users with notebooks where they can combine text, mathematics, computations and rich media output. EGI Notebooks is a multi-user service and can scale to multiple servers based on the EGI cloud service.

With the Binder ‘extension’ of Jupyter one can turn a Github repository with Jupyter notebooks into an executable environment, making code, visualisation and documentation immediately reproducible and reusable by anyone, anywhere. 

This webinar will introduce the key features of the EGI Notebooks service, particularly:

  • Easy access based on user authentication through EGI Check-In using institutional (eduGAIN) or social media accounts (e.g.: Google, Facebook, LinkedIn).
  • Graphical environment to write and run code, analyse and visualise data.
  • Persistent storage associated to each user, available in the notebooks environment.
  • Customisable with new notebook environments, expose any existing notebooks to your users.
  • Leverage on the EGI e-Infrastructure cloud compute and storage resources to run the notebooks.
  • Sharing of notebooks through Binder for Open Science.

The EGI Notebooks are offered in two options:

  • For individual users: EGI hosts and offers a JupyterHub within the Applications on Demand service. After a lightweight approval, users login, write and play notebooks using the EGI storage and compute capacity.
  • For user communities: EGI offers consultancy and technology to setup a community-specific JupyterHub on top of a community VO. This comes together with community specific compute and storage.
Learning goal: 

This training track is relevant for researchers, IT support people, and service providers who operate services for Open Science.

Format:

Target group: