Processing Real-time Streams using Apache Kafka and Kafka Streams API - Start as Beginner to Finish as PRO
InstructorPrashant Kumar PandeyThe curriculum provides depth in stateful processing, covering KTables, GlobalKTables, and various windowing types like Hopping and Session windows.
Instructional signals indicate that complex topics, such as stream topologies, are explained in a simple and accessible manner for Java developers.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This split-screen view displays Java source code for configuring Kafka Streams properties alongside the course landing page, highlighting the technical implementation focus.
This composite image displays a course overview listing key learning outcomes alongside a live development environment showing the IntelliJ IDEA project file structure.
This image displays a course landing page for Kafka Streams real-time stream processing, featuring a highlighted curriculum section that emphasizes learning about Kafka architecture and core concepts.
This course landing page displays the title, rating, and a detailed list of learning objectives including Kafka architecture and stream processing.
Learner feedback suggests the course focuses on individual components rather than a single, comprehensive end-to-end implementation.
One signal suggests the need for more complex scenarios that mix different serialization formats like AVRO and JSON to simulate real-world environments.
The curriculum aligns well with the stated goals for Java-based software engineers and architects.