Leonardo Guerreiro Azevedo, Renan Souza, et al.
SBSI 2024
We argue that emerging federated data management architectures require a means of gathering, linking, curating and enriching metadata in a graph. We call the system that supports these tasks a metadata lake. We explain the underlying architectural principles that are required to achieve such a system and describe our current implementation. We show how our metadata lake is used to achieve certain advanced capabilities and report on its performance.
Leonardo Guerreiro Azevedo, Renan Souza, et al.
SBSI 2024
Ryo Kawahara
ICBC 2020
Luis Garcés-Erice
Parallel Computing
Anshita Verma, Vagner Figueredo de Santana, et al.
AGU Fall 2022