Responsável: Agma Traina e Caetano Traina Jr. Abstract: The Big Data era is upon us: data are being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through all aspects of society. Since the value of data explodes when it can be linked and fused with other…

Responsáveis: Robson Leonardo Ferreira Cordeiro e José Fernando Rodrigues Junior Resumo: Apresentação de fundamento em BigData, que poderia abordar a teoria do porque o Google adotou a troca dos paradigmas tradicionais de software que são “Fetch Architecture” (pilha tradicional storage + db relacional + app server) e “Schema on Write” para lidar em BigData usando “Locality strategy” (aplicação vai até onde o dado…

Lecture Summary: Agriculture is at a crossroads where gains from traditional sources are predicted to level off by 2050. Consequently agricultural researchers are beginning to use machine learning techniques to allow farmers and farm managers to make better decisions. These better decisions lead to increased yields, and reduced production costs. This…