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Apache Kafka



Course Structure for Apache Kafka

Here's a possible course structure for Apache Kafka, covering essential aspects for beginners and intermediate learners:

Module 1:
Introduction to Apache Kafka

  • What is Apache Kafka?
  • Why use Apache Kafka?
  • Key features and benefits
  • Comparison with other messaging systems
  • Real-world use cases

Module 2:
Apache Kafka Architecture

  • Core components (Producers, Consumers, Brokers, ZooKeeper)
  • Topic partitions and replicas
  • Data persistence and replication
  • Security considerations
  • Monitoring and troubleshooting

Module 3:
Installing and Configuring Apache Kafka

  • Installation steps on different platforms
  • Configuration options for brokers, topics, producers, and consumers
  • Tuning performance and scalability
  • Security configuration and authentication

Module 4:
Using Kafka APIs

  • Producer API: Sending data to Kafka topics
  • Consumer API: Receiving data from Kafka topics
  • High-level consumer API for simplifying development
  • Kafka Streams API for stream processing

Module 5:
Advanced Topics

  • Kafka Connect: Integrating Kafka with external systems
  • Kafka Streams: Building real-time streaming applications
  • ksqlDB: Stream processing with SQL queries
  • Schema Registry: Managing data schema evolution
  • Monitoring and troubleshooting advanced scenarios

Module 6:
Best Practices and Case Studies

  • Best practices for deploying and managing Kafka in production
  • Common use cases and real-world examples
  • Scalability and performance optimization techniques
  • Integrating Kafka with other big data technologies

Additional Resources:

  • Hands-on exercises and labs
  • Projects and case studies
  • Community forums and resources
  • Certification preparation guide


Course Duration:

The course duration can vary depending on the depth and target audience. A beginner-level course can be completed in 2-3 weeks, while a comprehensive course with advanced topics may take 6-8 weeks.

Learning Outcomes:

  • Understand the core concepts of Apache Kafka
  • Install and configure Kafka clusters
  • Develop applications using Kafka APIs
  • Build real-time streaming applications with Kafka Streams
  • Implement best practices for managing Kafka in production