About this course
In today’s fast-paced data-driven world, organizations need to process and analyze information in real time. Apache Kafka has emerged as the leading open-source platform for building real-time data pipelines and streaming applications. This course introduces you to Kafka's core architecture, key concepts, and practical use cases through engaging lectures, whiteboard discussions, and hands-on demonstrations.
Designed for developers, data engineers, and IT professionals, this course helps you gain a foundational understanding of Kafka’s ecosystem. You’ll explore critical components such as topics, partitions, brokers, producers, and consumers, while learning how Kafka ensures message ordering, replication, and fault tolerance.
You’ll also learn why leading enterprises adopt Kafka for use cases like log aggregation, real-time analytics, and microservices communication—thanks to its scalability, durability, and high throughput capabilities.
By the end of this course, you will be able to deploy a Kafka instance, create and consume events, integrate Kafka into existing data infrastructures, and understand best practices for high-availability architecture and replication.
Whether you're just getting started or exploring Kafka for integration into enterprise systems, this course equips you with the knowledge and confidence to work with Kafka in real-world scenarios.
Learning Objectives
• Understand the architecture and components of Apache Kafka
• Explain key concepts such as producers, consumers, topics, and partitions
• Learn the principles of event streaming and real-time data pipelines
• Identify common Kafka use cases across various industries
• Deploy and interact with Kafka, produce/consume messages
• Apply best practices for Kafka architecture, replication, and fault tolerance
• Integrate Kafka with applications and data systems
• Navigate Kafka tools and APIs for building streaming solutions
Target Audience
This course is ideal for:
• Software developers and engineers new to Apache Kafka
• IT professionals interested in real-time data solutions
• Data engineers building modern streaming data platforms
• Anyone curious about event-driven architecture and Kafka use cases
Prerequisites
• No prior experience with Apache Kafka required
• Basic understanding of software and data systems is helpful, but not mandatory
Designed for developers, data engineers, and IT professionals, this course helps you gain a foundational understanding of Kafka’s ecosystem. You’ll explore critical components such as topics, partitions, brokers, producers, and consumers, while learning how Kafka ensures message ordering, replication, and fault tolerance.
You’ll also learn why leading enterprises adopt Kafka for use cases like log aggregation, real-time analytics, and microservices communication—thanks to its scalability, durability, and high throughput capabilities.
By the end of this course, you will be able to deploy a Kafka instance, create and consume events, integrate Kafka into existing data infrastructures, and understand best practices for high-availability architecture and replication.
Whether you're just getting started or exploring Kafka for integration into enterprise systems, this course equips you with the knowledge and confidence to work with Kafka in real-world scenarios.
Learning Objectives
• Understand the architecture and components of Apache Kafka
• Explain key concepts such as producers, consumers, topics, and partitions
• Learn the principles of event streaming and real-time data pipelines
• Identify common Kafka use cases across various industries
• Deploy and interact with Kafka, produce/consume messages
• Apply best practices for Kafka architecture, replication, and fault tolerance
• Integrate Kafka with applications and data systems
• Navigate Kafka tools and APIs for building streaming solutions
Target Audience
This course is ideal for:
• Software developers and engineers new to Apache Kafka
• IT professionals interested in real-time data solutions
• Data engineers building modern streaming data platforms
• Anyone curious about event-driven architecture and Kafka use cases
Prerequisites
• No prior experience with Apache Kafka required
• Basic understanding of software and data systems is helpful, but not mandatory
Apache Kafka - The Basics
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Apache Kafka - The Basics File
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