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Course Outline

Introduction to Apache Kafka

  • What is Kafka and why use it?
  • Core components: Topics, Partitions, Producers, Consumers, Brokers.
  • Understanding Kafka’s publish-subscribe model.
  • Use cases of Kafka in real-world applications.

Setting Up a Kafka Development Environment

  • Installing and configuring Kafka and ZooKeeper.
  • Kafka CLI tools for topic management.
  • Configuring Kafka for high availability.

Kafka Producers and Consumers

  • Creating Kafka Producers in Java.
  • Producing messages with keys, partitions, and acknowledgments.
  • Creating Kafka Consumers in Java.
  • Consumer groups and offset management.

Working with Kafka Streams

  • Introduction to Kafka Streams API.
  • Processing real-time data streams.
  • Stateful vs. stateless processing.
  • Windowing, joins, and aggregations.

Ensuring Reliability and Performance

  • Kafka replication and fault tolerance.
  • Optimizing producer and consumer configurations.
  • Monitoring Kafka performance.

Kafka Security and Authentication

  • Enabling SSL/TLS encryption.
  • Configuring authentication with SASL.
  • Role-based access control with Kafka ACLs.

Integrating Kafka with Other Systems

  • Using Kafka Connect to integrate with databases.
  • Connecting Kafka with Elasticsearch, PostgreSQL, and other data sources.
  • Building event-driven microservices with Kafka.

Summary and Next Steps

Requirements

  • A solid understanding of core Java programming.
  • Basic knowledge of distributed systems and messaging systems.
  • Familiarity with software development tools such as Maven or Gradle.

Audience

  • Java developers seeking to integrate Kafka into their applications.
  • Software engineers working with event-driven architectures.
  • Developers interested in learning Kafka as a distributed messaging system.
 14 Hours

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