Imagine trying to find a single needle in a mountain of hay, but the hay is the size of the galaxy. This project builds a giant digital magnifying glass and a super-powered sorting machine in the cloud to handle this. It lets researchers sift through massive amounts of space data without needing their own expensive supercomputers.
Scientific and commercial entities struggle to analyze massive space datasets because they lack the expensive, specialized infrastructure required for Big Data mining.
A Big Data Analytics Framework (BDAF) and a cloud-based computational environment for processing ESA mission data.
If you are a data analytics firm dealing with massive volumes of satellite imagery — this project developed a Big Data Analytics Framework that allows for processing outsize usage scenarios. This means you can analyze datasets that are too large for standard hardware.
If you are a cloud provider dealing with high-performance computing demands for science — this project developed a computational environment for Big Data and Data Mining. You can use these methods to optimize how you host and process massive scientific archives.
If you are a space tech company dealing with the sheer volume of ESA mission data — this project developed tools and methods to analyze these products. This reduces the technical barrier to extracting value from massive datasets like Gaia and Euclid.
Based on available project data, the project is funded by the EU and aims to open the platform to the community via an Open Call, but no commercial pricing model is specified.
Yes, the project specifically targets 'Outsize Usage Scenarios' and uses Big Data and Data Mining technologies to handle datasets that are otherwise impossible to analyze without dedicated infrastructure.
Based on available project data, the project intends to open the platform to the community, but specific licensing terms for the Big Data Analytics Framework are not provided.
The project runs from 2024-01-01 to 2026-12-31, with a second phase dedicated to opening the system to the community through an Open Call.
The project is in close collaboration with the ESA DataLabs Project to facilitate the analysis of ESA archives and data products.
The consortium is purely academic and research-driven, consisting of 5 universities and 2 research organizations across 4 countries. With an industry ratio of 0%, the project is currently focused on scientific validation and technical development rather than immediate commercialization.
Contact the Universitat de Barcelona regarding the Big Data Analytics Framework (BDAF).
Contact us to track the Open Call for proposals to test your datasets on the SPACIOUS platform.
