Apache Kafka for Developers Training Course

Apache Kafka is an open-source distributed event streaming platform that provides tools for building real-time streaming data pipelines and applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka.

By the end of this training, participants will be able to:

• Develop Kafka producers and consumers to send and read data from Kafka.
• Integrate Kafka with external systems using Kafka Connect.
• Write streaming applications with Kafka Streams & ksqlDB.
• Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments.
• Gain practical experience through hands-on exercises and real-world use cases.

Course Outline:

• Introduction
• Overview of Apache Kafka
• Introduction to event streaming and real-time data processing
• Overview of Apache Kafka and its features
• Use cases and benefits of Kafka in modern application development
• Understanding Kafka Architecture and Core Concepts
• Kafka architecture: brokers, topics, partitions, and replicas
• Producers and consumers: publishing and consuming messages
• Understanding the role of ZooKeeper in Kafka
• Kafka Topics and Partitions
• Topic creation and configuration
• Understanding partitions and their implications
• Replication and fault-tolerance in Kafka
• Kafka Producers
• Creating Kafka producers using various programming languages
• Message serialization and serialization techniques
• Producer configurations and best practices
• Kafka Consumers
• Developing Kafka consumers using different programming languages
• Configuring consumer groups and offsets
• Strategies for message processing and delivery guarantees
• Integrating Kafka with External Systems using Kafka Connect
• Overview of Kafka Connect and its connectors
• Configuring and using Kafka Connect for data integration
• Integrating Kafka with external systems
• Writing Streaming Applications with Kafka Streams & ksqlDB
• Introduction to Kafka Streams and its stream processing capabilities
• Developing stream processing applications with Kafka Streams
• Using ksqlDB for real-time data processing and analytics
• Integrating a Kafka Client Application with Confluent Cloud
• Overview of Confluent Cloud and its features
• Configuring and connecting a Kafka client application with Confluent Cloud
• Kafka Security
• Introduction to Kafka security features
• Configuring SSL TLS for secure communication
• Authentication and authorization mechanisms in Kafka
• Monitoring and Operations
• Monitoring Kafka using metrics and tools
• Managing Kafka clusters and resources
• Troubleshooting common issues and performance tuning