Estudo de caso para solução de integração com grandes volumes de dados utilizando padrões de integração empresarial com o uso do Apache Camel

Abstract

This work aims to present the use of corporate integration standards as a solution for the treatment and transformation of large volumes of data in distributed and heterogeneous applications. One of the main challenge is building a solution to solve a real problem of management and handling large volumes of data, with less development time and less cost of resources and pricing. In this context, the objective is to present a case study that uses enterprise integration patterns such as Message Routing, Splitter and Load Balancer, as a solution implemented for an application of a real case, that deal large volumes of data, originating from banking systems, and using the Apache Camel as a viable and low cost option for this purpose. A scalable and virtualized environment was used with the java / spring boot / Kubernetes platform. As a result, it was observed that with the use of Apache Camel, it was possible to bring real benefits with a rapid development, about 68.75% faster than an implementation that doesn’t use Apache Camel, with greater code cohesion, through an implementation more scalable and secure. This document was structured in order to present an implementation roadmap, so that it serves as a starting point, or a guide, for future developers and academics, for similar problems of implementing application integration with large volumes of data.