Confluent Cloud for Apache Flink Training in Kraków, Poland

This course provides a practical introduction to using Apache Flink with Confluent Cloud, focusing on stream processing, event-driven applications, and real-time analytics. Learners will understand the architecture of Flink and how it integrates natively with Confluent Cloud for high-throughput, low-latency data processing. Real-world use cases and hands-on labs will be emphasized to build production-ready Flink applications in a fully managed environment.

Introduction to Flink and Streaming in Confluent Cloud

• Stream Processing Basics

  • Batch vs. stream processing

  • Use cases for Flink: fraud detection, anomaly detection, real-time analytics

• Apache Flink Architecture

  • Jobs, operators, state management

  • Flink runtime and distributed processing

• Getting Started with Confluent Cloud + Flink

  • Enabling Flink in Confluent Cloud

  • Navigating the Flink SQL Console

  • Kafka topic creation for ingestion

• Stream Processing with Flink SQL

  • Creating streams and tables

  • Performing joins, filters, and aggregations

  • Working with event-time and watermarks

Advanced Flink Operations and Production Deployment

• Flink DataStream API (Java/Python)

  • Building Flink applications using the DataStream API

  • Serialization, transformation, and sinks

• Stateful Stream Processing

  • Understanding keyed state and operator state

  • Using state for session windows and aggregations

• Monitoring and Observability

  • Metrics, logs, and debugging Flink jobs

  • Performance tuning and scalability

• Hands-on exercises
• Summary and Conclusion