Apache Kafka Training in Taichung

Confluent Apache Kafka is an enterprise-grade distributed event streaming platform built on Apache Kafka. It supports high-throughput, fault-tolerant data pipelines and real-time streaming applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimize Confluent Kafka clusters in production environments.

By the end of this training, participants will be able to:

• Install, configure, and operate Confluent Kafka clusters with multiple brokers.
• Design high-availability setups using Zookeeper and replication techniques.
• Tune performance, monitor metrics, and apply recovery strategies.
• Secure, scale, and integrate Kafka with enterprise environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Confluent Apache Kafka is a distributed event streaming platform engineered for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led live training (available online or onsite) targets intermediate-level system administrators and DevOps professionals seeking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

Upon completion of this training, participants will be able to:

• Grasp the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and essential services.
• Configure advanced features such as security, replication, and performance tuning.
• Utilize management tools to monitor and maintain Kafka clusters.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate-level Java developers who wish to integrate Apache Kafka into their applications to achieve reliable, scalable, and high-throughput messaging.

By the end of this training, participants will be able to:

• Comprehend the architecture and core components of Kafka.
• Set up and configure a Kafka cluster.
• Produce and consume messages using Java.
• Implement Kafka Streams for real-time data processing.
• Ensure fault tolerance and scalability in Kafka applications.

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate-level developers seeking to build big data applications with Apache Kafka.

Upon completing this training, participants will be capable of:

• Developing Kafka producers and consumers to transmit and retrieve data from Kafka.
• Integrating Kafka with external systems via Kafka Connect.
• Creating streaming applications using Kafka Streams & ksqlDB.
• Connecting a Kafka client application to Confluent Cloud for cloud-based Kafka deployments.
• Gaining practical experience through hands-on exercises and real-world use cases.

This course is designed for enterprise architects, developers, and system administrators, as well as anyone interested in learning how to implement and utilize high-throughput distributed messaging systems. If you have specific learning objectives (such as focusing solely on system administration aspects), the course content can be customized to better fit your requirements.

This instructor-led live training in Taichung (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level system administrators and operations engineers who wish to use Apache Kafka to deploy, secure, monitor, and troubleshoot Kafka clusters.

Upon completion of this training, participants will be able to: explain Kafka architecture and KRaft mode, operate and secure Kafka clusters, monitor performance and reliability, and resolve common production issues.