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Arquitetura Publish-subscribe, fluxos de dados, Apache Kafka: tópicos, partições e offsets; produtores e consumidores, brokers; monitoramento, resiliência: replication factor; produzindo e consumindo mensagens em Java.

1. STOPFORD, Ben. Designing Event-Driven Systems: Concepts and Patterns for Streaming Services with Apache Kafka. Sebastopol,: O’reilly Media., 2018. 150 p. Disponível em: . Acesso em: 04 fev. 2020.;  2. NARKHEDE, Neha; SHAPIRA, Gwen; PALINO, Todd. Kafka: the definitive guide: real-time data and stream processing at scale. " O'Reilly Media, Inc.", 2017.;  3. BEJECK, William P. Kafka Streams in action: real-time apps and microservices with the Kafka Streams API. 2018

1. KUMAR, Manish; SINGH, Chanchal. Building Data Streaming Applications with Apache Kafka: Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark. Packt Publishing, 2017.  2. SAXENA, Shilpi; GUPTA, Saurabh. Practical Real-time Data Processing and Analytics. Packt Publishing, 2017.;  3. GARG, Nishant. Learning Apache Kafka. Packt Publishing Ltd, 2015.;  4. MINNI, Saurabh. Apache Kafka Cookbook. Packt Publishing Ltd, 2015.;  5. THEIN, Khin Me Me. Apache kafka: Next generation distributed messaging system. International Journal of Scientific Engineering and Technology Research, v. 3, n. 47, p. 9478-9483