(Universidade Federal do Espírito Santo, 2020-05-08) Baqui, Pedro Otavio Souza; Piattella, Oliver Fabio; https://orcid.org/0000000345580574; http://lattes.cnpq.br/5707156831919279; https://orcid.org/0000000209139952; http://lattes.cnpq.br/; Fabris, Julio Cesar; https://orcid.org/000000018880107X; http://lattes.cnpq.br/5193649615872035; Quartin, Miguel Boavista; https://orcid.org/0000000158536164; http://lattes.cnpq.br/3080181268936724; Rodrigues, Davi Cabral; https://orcid.org/0000000316835443; http://lattes.cnpq.br/5465449494182034; Abramo, Luis Raul Weber; Marra, Valerio; https://orcid.org/0000000277731579; http://lattes.cnpq.br/6846011112691877
Future astrophysical research such as JPAS will produce huge datasets never seen before, reaching a rate of 150 TB per day. Therefore, new tools for processing this amount of data must be employed. Preferably they will provide us with an almost real-time