Kafka Building Reliable Real– Time Event Systems

In today's data-driven world, real-time event streaming has become crucial for businesses to gain insights and react swiftly to changing conditions. This course takes you through the ins and outs of Apache Kafka, the leading event streaming platform. You'll begin with an introduction to event streaming and Kafka's architecture, followed by hands-on tutorials to set up your Kafka cluster. As you move through the lessons, you'll explore Kafka's core components, including brokers, topics, partitions, and replication, which ensure reliable, scalable data handling. You'll also dive deep into Kafka producers and consumers, learning how messages are serialized, how keys are used, and how to manage acknowledgments to guarantee data delivery reliability.
The course covers advanced topics like Kafka's offset management, security, and fault tolerance strategies, including handling poison pills and using ZooKeeper. With Kafka Connect, you'll learn to easily integrate Kafka with other data systems. The course culminates with a practical project where you'll build an event-driven system, simulating real-world applications. By the end, you'll have the skills to implement Kafka solutions in production environments, ensuring efficient, real-time data streaming for any application.
To access the supplementary materials, scroll down to the 'Resources' section above the 'Course Outline' and click 'Supplemental Content.' This will either initiate a download or redirect you to GitHub.
What you will learn
Understand the core concepts of event streaming and Apache Kafka
Set up and configure a Kafka cluster using Docker and KRaft
Scale Kafka topics and partitions for parallelized data processing
Implement Kafka producers and consumers to stream real-time data
Manage Kafka offsets, poison pills, and handle fault tolerance
Integrate external systems using Kafka Connect
Audience
This course is ideal for software developers, data engineers, and systems architects looking to master event streaming with Apache Kafka. It's designed for those with a basic understanding of programming and distributed systems. You'll learn to set up Kafka clusters, implement producers and consumers, manage data streams, and integrate external systems using Kafka Connect. Through hands-on demos and real-world use cases, you'll gain the skills to build and scale event-driven systems in production environments.

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