- Describe the basics of Kafka and its architecture.
- Develop applications with the Kafka Streams API.
- Integrate applications with Kafka Connect.
- Capture data change with Debezium.
- Troubleshoot common application streaming issues.
Impact on the organization
Organizations are
recognizing that traditional synchronous applications are not able to scale
consistently and adjust to the massive amounts of data from customers while
still meeting customers’ expectations of immediate results. With event-driven
applications using Kafka and AMQ Streams, organizations can expect to be able to
globally scale their applications, store and stream process data, and provide
feedback to customers with extremely low latency.
Impact of this training
As a result of attending
this course, students will understand the architecture of Kafka and AMQ Streams
and will be able to identify proper use cases for event-driven applications. In
addition to learning the fundamental principles and features of Kafka and AMQ
Streams, Students will learn how to design, develop, and test event-driven
applications.
Students should be able to demonstrate the following skills:
-
Design, build, and use event-driven applications for relevant scenarios
with standard patterns.
-
Detect and react to data changes with Debezium to improve application
performance.
-
Troubleshoot common problems with event-driven
applications.
