Apache Kafka for Real-Time Data Engineering and Pipelines

Modern businesses rely on instant data processing, and Kafka is the industry standard for handling massive streams of information in real time. This course guides you through the process of designing robust event-driven systems that can handle high-throughput data pipelines efficiently. You will learn how to: - Understand core Kafka architecture, including brokers, topics, partitions, and replication. - Configure producers and consumers to manage high-velocity data streams effectively. - Implement Kafka Connect to integrate with external databases and cloud storage systems. - Apply Kafka Streams for real-time data processing and transformation. - Manage modern cluster coordination using KRaft mode for simplified operations. - Explore event-driven patterns for feeding data into vector databases for AI workflows. The course begins with foundational terminology and architecture before moving into practical configurations for producers, consumers, and stream processing through written explanations and code examples. This course is designed for beginners interested in data engineering and backend development; no prior experience with distributed systems is required. Start building your foundation in real-time data streaming today.