Apache Kafka for Real-Time Events and Data Ingestion

Real-time data and event streaming are crucial components of modern data architectures. By leveraging systems such as Apache Kafka, organizations can ingest, process, and analyze real-time data to drive timely business decisions and actions.

In this chapter, we will cover Kafka’s fundamental concepts and architecture that enable it to be a performant, resilient, and scalable messaging system. You will learn how Kafka’s publish-subscribe messaging model works with topics, partitions, and brokers. We will demonstrate Kafka setup and configuration, and you will get hands-on experience with producing and consuming messages for topics.

Additionally, you will understand Kafka’s distributed and fault-tolerant nature by experimenting with data replication and topic distribution strategies. We will also introduce Kafka Connect for streaming data ingestion from external systems such as databases. You will configure...