Login

CS3 2021- Cloud Storage Synchronization and Sharing

25–28 Jan 2021
Europe/Zurich timezone

Session

Novel Data Science Environments

26 Jan 2021, 09:00

Conveners

Novel Data Science Environments: Novel Data Science Environments

  • Guido Aben (AARNet)

Presentation materials

There are no materials yet.

  1. 148. Forget 2020: Building an integrated AARNet Cloud Ecosystem in 2021
    Gavin Charles Kennedy
    26/01/2021, 09:00
    User Voice: Novel Applications, Data Science Environments & Open Data
    Presentation

    2020 has been a terrible year for everyone and has delivered significant challenges for AARNet (Australia’s Academic Research Network provider) in the delivery of online researcher facing services. A surge in demand across multiple services from March onwards has kept the operational teams busy, while online-only work practices initially slowed our development activities. However AARNet have...

    Go to contribution page
  2. 136. SWAN, Rucio, and Jupyter
    Mario Lassnig (CERN)
    26/01/2021, 09:15
    User Voice: Novel Applications, Data Science Environments & Open Data
    Lightning talk

    The LHC experiments at CERN produce an enormous amount of scientific data. One of the main computing challenges is to make such data easily accessible by scientists and researchers. Technologies and services are being developed at CERN and at partner institutes to face this challenge, ultimately allowing to turn scientific data into knowledge.

    SWAN (Service for Web-based ANalysis) is a...

    Go to contribution page
  3. 138. Running Parallel, Distributed ROOT Analysis with PyRDF on Public Cloud - AWS Lambda Case Study
    Mr Jacek Kusnierz (AGH University of Science and Technology (PL))
    26/01/2021, 09:30
    User Voice: Novel Applications, Data Science Environments & Open Data
    Presentation

    ROOT framework is a standard tool for HEP data storage and analysis. Current approaches for parallel and distributed processing in ROOT require either batch systems such as HTCondor, or big data frameworks like Apache Spark supported by the recently added PyRDF interface. However, these approaches are heavily reliant on existing scientific infrastructure. On the other hand, cloud computing...

    Go to contribution page
  4. 139. Data access and integration challenges in a distributed computational environment for medical research
    Piotr Nowakowski (ACC Cyfronet AGH)
    26/01/2021, 09:45
    User Voice: Novel Applications, Data Science Environments & Open Data
    Presentation

    Carrying out research at the forefront of medical science with the use of distributed computing resources poses a number of unique challenges related to securely managing, integrating, storing and accessing data. The authors present their experience in developing a distributed computational environment for a range of studies in the area of computational medicine, with particular focus on how...

    Go to contribution page
  5. 156. JupyterLab for Earth Observation applications with HTCondor scaling and Voilà dashboarding
    Mr Davide De Marchi (European Commission)
    26/01/2021, 10:00
    User Voice: Novel Applications, Data Science Environments & Open Data
    Presentation

    The Joint Research Centre (JRC) of the European Commission has set up the JRC Big Data Analytics Platform (BDAP) as a multi-petabyte scale infrastructure to enable EC researchers to process and analyse big geospatial data in support to EU policy needs [1]. One of the service layer of the platform is the JEO-lab environment [2] that is based on Jupyter notebooks and the Python programming...

    Go to contribution page
Building timetable...