Apache Kafka - Real-time Stream Processing (Master Class)

A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API About This Video Design, develop, and test real-time stream processing applications using Kafka Streams Explore the Kafka Streams architecture, Streams DSL, and exactly-once processing in Apache...

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Detalles Bibliográficos
Otros Autores: Pandey, Prashant, author (author)
Formato: Video
Idioma:Inglés
Publicado: Packt Publishing 2020.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630587306719
Descripción
Sumario:A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API About This Video Design, develop, and test real-time stream processing applications using Kafka Streams Explore the Kafka Streams architecture, Streams DSL, and exactly-once processing in Apache Kafka Autogenerate Java Objects from JSON and AVRO Schema definition In Detail If you want to understand the concept of stream processing, this course is for you. Using Kafka, the course will help you get to grips with real-time stream processing and enable you to apply that knowledge to learn Kafka programming techniques. This course uses the Kafka Streams library available in Apache Kafka 2.x. All the source code and examples on Apache Kafka 2.3 open-source distribution have been tested. You'll understand and explore Confluent Platform functionalities such as Schema Registry and Avro Serdes using the Confluent Community Version. This course makes extensive use of IntelliJ IDEA and Apache Maven as the preferred development IDE. You'll leverage Log4J2 and JUnit5 for industry-standard log implementation in your application and implementing unit test cases, respectively.
Notas:Title from resource description page (Safari, viewed September 23, 2020).
Descripción Física:1 online resource (1 video file, approximately 10 hr., 53 min.)