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 Duration 14 hours

Course Outline

Overview of Apache Kafka

  • Definition of Kafka and its operational relevance
  • Primary architectural elements: Topics, Partitions, Producers, Consumers, Brokers
  • Publish-subscribe communication model in Kafka
  • Practical applications of Kafka in enterprise and government contexts

Establishing a Kafka Development Environment

  • Deployment and configuration of Kafka and ZooKeeper
  • Utilization of Kafka command-line interfaces for topic administration
  • Configuration strategies for ensuring high availability

Kafka Producers and Consumers

  • Implementation of Kafka Producers using Java
  • Message handling involving keys, partition assignment, and acknowledgment mechanisms
  • Implementation of Kafka Consumers using Java
  • Management of consumer groups and offset tracking

Utilizing Kafka Streams

  • Fundamentals of the Kafka Streams API
  • Real-time data stream processing techniques
  • Distinctions between stateful and stateless processing operations
  • Application of windowing, joins, and data aggregation

Maintaining Reliability and Performance Standards

  • Replication strategies and fault tolerance mechanisms in Kafka
  • Tuning producer and consumer settings for optimal performance
  • Methods for monitoring and assessing Kafka operational efficiency

Kafka Security Frameworks and Authentication Protocols

  • Implementation of SSL/TLS encryption for data protection
  • Configuration of SASL-based authentication mechanisms
  • Enforcement of role-based access control through Kafka ACLs

System Integration with Kafka

  • Leveraging Kafka Connect for database interoperability
  • Integration with Elasticsearch, PostgreSQL, and other data repositories
  • Development of event-driven microservices utilizing Kafka

Conclusion and Subsequent Actions

Requirements

  • Demonstrated proficiency in core Java programming concepts
  • Fundamental understanding of distributed systems and messaging infrastructure
  • Experience with standard software development tools, including Maven or Gradle

Target Audience

  • Java developers tasked with integrating Kafka into enterprise or government applications
  • Software engineers engaged in the design of event-driven architectures
  • Professionals seeking to master Kafka as a distributed messaging system for public sector operations

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