Confluent Courses

Running Apache Kafka in Production - 6 Key Recommendations

Discover essential recommendations for optimizing Apache Kafka in production environments, covering operational aspects, serialization, architecture, and advanced features for efficient data streaming.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Building a Real-Time AI Data Platform with Apache Kafka

Explore building a real-time AI data platform using Apache Kafka, focusing on migrating from batch to stream processing without stateful components. Learn about Forecasty.ai's journey and innovative solutions.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Optimizing Apache JVMs for Apache Kafka Performance

Optimize Apache JVMs for Apache Kafka performance. Learn about JVM internals, garbage collection, JIT compilation, and cloud-native compilers to enhance real-time data pipelines and reduce costs.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Apache Kafka: Past, Present, and Future - Keynote

Explore Apache Kafka's evolution, community impact, and future developments. Gain insights from industry leaders on Kafka's applications and upcoming features like KRaft.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Is Flink SQL a Database? Understanding Apache Flink SQL

Explore Apache Flink SQL's unique approach to stream processing, adapting database concepts like queries and materialized views for real-time data analysis and processing.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Shift Left: Rethinking Data Management with Streams and Tables

Rethink data circulation using DataStreams and Change Data Capture. Learn to shift data preparation to creation point, building fresh datasets as streams for operational use or Apache Iceberg tables for analytics.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Understanding Data Streaming Platforms: Components and Evolution

Explore the six key components of a Data Streaming Platform, from Apache Kafka to Tableflow, and learn how they work together to provide a complete solution for unified end-to-end data streaming across your organization.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Resolving Issues with Python Kafka Producers - Monitoring and Troubleshooting

Leverage native monitoring capabilities of Python Kafka producers and Confluent Cloud's Metrics API. Explore linger.ms effects on latency and batch sizes. Troubleshoot using Python logging and enterprise monitoring infrastructure.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

What is a Headless Data Architecture? - Understanding the Modular Approach to Data Management

Explore headless data architecture: decouple computation from storage, enable modular ecosystems, and streamline data processing for real-time and analytical use cases.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Retrieval Augmented Generation (RAG) with Data Streaming for GenAI Applications

Explore Retrieval Augmented Generation (RAG) with data streaming to enhance LLM outputs. Learn how Apache Kafka and Flink enable real-time, contextualized data for reliable GenAI applications.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Event-Driven Microservices in Banking and Fraud Detection - Designing Event-Driven Microservices

Explore event-driven microservices in banking and fraud detection. Learn about isolation, resilience, performance improvement, security, and polyglot architecture for modernizing systems.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Event-Driven Architectures: Fundamentals and Advanced Concepts

Explore event-driven architectures, including event immutability, windowing techniques, and practical applications in Apache Kafka and Flink ecosystems. Gain insights from industry experts in an engaging Q&A format.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Event-Driven Architecture vs Request-Response Architecture - Comparison and Tradeoffs

Explore the tradeoffs between Event-Driven and Request-Driven Architectures. Learn about reactivity, coupling, consistency, historical state, flexibility, and data access in both approaches.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

How to Use Streaming Joins with Apache Flink

Explore streaming joins in Apache Flink®, covering stateless, materializing, and temporal operations. Learn through demos on updating, appending, and versioned table joins for effective data combination.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

3 Flink Mistakes We Made So You Won't Have To

Discover key lessons and avoid common pitfalls when adopting Apache Flink for stream processing. Learn to optimize Kafka integration, memory configuration, and checkpointing for efficient and reliable data processing.

• YouTube
• 16 minutes
• Self-Paced
• Free Video