Análise de big data para visualização de métricas dos docentes do ensino superior

Abstract

Electronic devices have become increasingly intelligent. Data from several sources are generated every second and with the growth of digital data worldwide, increasingly have the need to manage them using unconventional solutions, and meet this demand in a financially viable way. Such solutions are known as technologies for Big Data analysis and architectures are created in order to process and manage computationally fast, a wide variety of grouped data in large quantities. Various public and private institutions have used analysis of Big Data as a management strategy. These solutions assist in decision making, when oriented data has shown greater efficiency. However, this data needs to be viewed effectively, and this is a major challenge in analyzing Big Data. Correct data visualization makes these solutions have greater importance in the decision-making process. Higher education institutions (HEIs) have problems in data management that can be solved with the aid of a solution for analyzing Big Data. Thus, this paper aims to solve problems in this context. As a result of this work aims to create a database that will provide information simply and effectively, and they can assist managers of IES to obtain very relevant information and may generate an improvement in the management process. Using the technologies for analyzing Big Data, it was developed in this study a web tool for managers of IES can view information and indicators of the activities of teachers properly.