Conveners
Collaborative Data Science and Visualisation
- Pedro Ferreira (CERN)
Collaborative Data Science and Visualisation
- Tilo Steiger
With the HL-LHC, the HEP community will experience orders of magnitude more data at a multi-exabyte scale. To prepare for such unprecedented scientific data collection, the different research sites are combining their diverse resources into integrated Analysis Facilities' systems.
SWAN, CERN's Service for Web based ANalysis, is following this approach, evolving from a plain notebook-based...
The Italian National Institute for Nuclear Physics (INFN) has a long history of designing and implementing large-scale computing infrastructures and applications.
INFN has spent the past ten years heavily investing in developing solutions to enable, optimise and simplify transparent access to a multi-site federated Cloud infrastructure. A primary goal of this effort is to provide a generic...
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 data in support to EU policy needs [1]. One of the service layers of the platform is based on Jupyter notebooks and the Python programming language to enable exploratory visualization and...
One of the main challenges in dealing with large amounts of data is to find a suitable presentation for the different target groups. With the new module External App, SeaTable allows you to build individual frontends for the different stackholders and process participants in no time.
In this way, processes can be streamlined and the transfer of information can be made more...
Onedata is a distributed, global, high-performance data management system, which provides transparent and unified access to globally distributed storage resources and supports a wide range of use cases from personal data management to data-intensive scientific computations. Due to its fully distributed architecture, Onedata allows for the creation of complex hybrid-cloud infrastructure...
Data Science is a complex field that requires a high level of expertise and collaboration among teams of experts. With the rise of big data, it has become increasingly important to create collaborative workflows that enable data scientists to combine their skills and knowledge to create better results. This, however, can be a challenge in an environment of heterogenous cloud and storage...
