Patterns, Anti-patterns, and Best Practices in Kafka Pipelines

Learn to design reliable, scalable, and maintainable Kafka data pipelines. This course teaches proven design patterns, common anti-patterns, and operational best practices used in real-world streaming systems.
What you'll learn
Every organization depends on reliable data pipelines to move and process information in real time, but poorly designed Kafka pipelines often lead to scalability issues, data loss, or operational failures.
In this course, Patterns, Anti-patterns, and Best Practices in Kafka Pipelines, you'll gain the ability to design and operate production-ready streaming pipelines.
First, you'll explore proven design patterns like event sourcing, CQRS, and change data capture (CDC).
Next, you'll discover operational best practices for schema evolution, replication, and monitoring.
Finally, you'll learn how to identify and fix common anti-patterns that harm Kafka performance and reliability.
When you're finished with this course, you'll have the skills and confidence to build robust Kafka pipelines that scale with your organization's data needs.
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