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The "Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams" course provides an in-depth understanding of building and maintaining event-driven systems. It caters to developers and architects seeking expertise in leveraging Apache Kafka and Red Hat AMQ for real-time data processing.
In Module 1, learners explore the core principles that underpin Event-driven architectures, setting the stage for more advanced concepts.
Module 2 introduces Kafka and AMQ Streams concepts, teaching students to develop basic Messaging functionalities in applications.
Module 3 delves into the Streams API, guiding participants through the creation of sophisticated data streaming applications.
Module 4 focuses on Asynchronous services and the Event collaboration pattern, essential for modern, scalable systems.
Module 5 covers Kafka Connect and Debezium, tools for integrating and reacting to changes in data systems.
Finally, Module 6 equips learners with troubleshooting skills for Kafka and AMQ Streams applications, ensuring they can maintain performance and reliability.
By the end of the course, participants will have a robust skill set for designing and implementing event-driven systems using Apache Kafka and Red Hat AMQ technologies.
Successfully delivered 1 sessions for over 5 professionals
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
This course equips participants with the skills to design, build, and troubleshoot event-driven applications using Apache Kafka and Red Hat AMQ Streams.
Target Audience and Job Roles for the Course:
Gain expertise in building scalable, high-performance event-driven applications using Apache Kafka and Red Hat AMQ Streams, covering everything from fundamental concepts to advanced data streaming and integration techniques.