Apache Kafka - Real-time Stream Processing (Master Class) / Pandey, Prashant.

Format:

Video

Author/Creator:

Pandey, Prashant, author.

Language:

English

Subjects (All):

Data transmission systems.

Electronic data processing.

IDE (Standard).

Apache Kafka.

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 10 hr., 53 min.)

Edition:

1st edition

Place of Publication:

Packt Publishing, 2020.

System Details:

video file

Summary:

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.

Participant:

Presenter, Prashant Kumar Pandey.

Notes:

Online resource; Title from title screen (viewed April 30, 2020)

Title from resource description page (Safari, viewed September 23, 2020).

OCLC:

1197974461