Kafka Fundamentals

Overview

Class Central Tips

Welcome to the Kafka Fundamentals course! The course is designed to provide you with a comprehensive understanding of Apache Kafka, a distributed streaming platform used for building real-time data pipelines and streaming applications. Whether you are new to Kafka or seeking to solidify your foundational knowledge, this course will equip you with the skills needed to effectively utilize Kafka in various real-world scenarios. This course requires a basic understanding of distributed systems and familiarity with Java or Python programming languages. This course is ideal for software developers, data engineers, system administrators, and IT professionals who are looking to leverage Kafka for data streaming and real-time analytics. The course provides a comprehensive introduction to key big data concepts and messaging systems, laying a solid foundation for understanding data processing dynamics. By the end of this course, you will be able to: - Understand data evolution, big data significance, analytics applications, and messaging systems. - Learn Kafka's key features, components, architecture, and industry use cases. - Set up Kafka environments and install Zookeeper and Kafka. - Master Kafka producer and consumer basics, configurations, and operations. - Work with serializers and deserializers and manage offsets and rebalancing. This course contains engaging videos, hands-on demonstrations, readings, and assessments to ensure a comprehensive understanding of Apache Kafka.

Syllabus

Getting Started with Big Data and Apache Kafka

This module provides an overview of Big Data, messaging systems, and Apache Kafka, including installation and setup demonstrations. By the end of this, learners will be able to install and configure the Kafka environment.

Kafka Producer

This module provides an overview of Kafka Producer, covering its architecture and configuration. By completing this module, learners will be able to create and configure Kafka Producers, handle message serialization, and manage partitioning.

Kafka Consumer

This module introduces Kafka Consumer fundamentals, including consumer groups, offset management, and deserialization techniques. By completing this module, learners will gain the ability to create Kafka Consumers, effectively manage offsets, and implement custom deserializers for efficient data processing.