Objective: Learn to design, deploy, and manage real-time data pipelines using Apache Kafka, enabling scalable event streaming and fault-tolerant data systems.
Total Duration of the training: 24 Hours of Live, Interactive, Trainer-Led Sessions
Additional Components: 50+ Hours of MCQs and Assignments | 16 Hours of Hands-on Training with Apache Kafka
Master Real-Time Data Streaming with Apache Kafka
This course covers the complete Kafka ecosystem — including producers, consumers, topics, partitions, and offsets — through real-world case studies. Participants will gain practical expertise in connecting Kafka with big data tools like Spark and Hadoop, setting up clusters, and optimizing streaming workflows.
This programme delivers 24 hours of Continuing Professional Development (CPD) / Continuing Professional Education (CPE). Please note that it is a self-certified training initiative and does not carry formal accreditation from any external CPD or CPE governing body. Participants are strongly advised to consult with their respective professional, regulatory or membership organisations to determine the eligibility and recognition of these learning hours for their continuing education requirements.
By the end of this 24-hour course, learners will be able to:
Introduction to Apache Kafka
Kafka Producers and Consumers
Kafka Cluster Setup and Configuration
Kafka Streams and Connect
Integration with Big Data Ecosystem
Monitoring and Optimization
The Apache Kafka Course Certification Training by Merit Global Training provides hands-on experience in building real-time data pipelines and stream processing applications. You’ll learn Kafka’s architecture, producers, consumers, clusters, and advanced integrations with Spark, Hadoop, and Flink. This course is designed for data engineers, developers, and architects aiming to manage large-scale data streams efficiently.
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