Descrição
This work has the objective to perform a case study within an agricultural machinery organization, It's regarding the use of Big Data solution associated with the predictive analysis in order to foresee when an agricultural machine will be damaged, so that a unscheduled stop occurs, avoiding losses to its customers and generating competitive advantages against market competitors. It was used several bibliographical references from many different authors whose studied, developed and applied the matter in a thorough way. It was presented a strong theoretical basis regarding Big Data solution, thoroughly exploring the 5V's solution. Through this work it was proposed an architectural model for Big Data usage, as well as the verification of its organization acceptance. The data survey was made through interviews with managers, by gathering their knowledge and expertise in the system involved and applied in this case study.
