The Sigma Data Processing Architecture: Leveraging Future Data for Extreme-Scale Data Analytics to Enable High-Precision Decisions
Résumé
This white paper introduces several key principles based on which HPC-Big Data convergence can be achieved: 1) use future (simulated) data to substantially enrich knowledge obtained based on historical (past) data; 2) enable high-precision analytics thanks to hybrid modeling combining simulation and data-driven models; 3) enable unified data processing thanks to a data processing framework able to relevantly leverage and combine stream processing and batch processing in situ and in transit.
Origine : Fichiers produits par l'(les) auteur(s)