Confluent Courses

KSQLDB & Advanced Stream Processing Tutorials - Inside KSQLDB

Explore ksqlDB's architecture, advanced features, and operations for building real-time applications with Apache Kafka. Learn stateless and stateful operations, joins, fault tolerance, and high availability.

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

KSQLDB and Stream Processing Tutorials - KSQLDB 101

Learn to process event streams with ksqlDB's SQL syntax. Filter, transform, and query data streams, understand streams vs tables, use utility functions, and integrate with Kafka Connect. Hands-on exercises included.

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

Spring Framework and Apache Kafka Tutorials - Spring for Apache Kafka 101

Learn to integrate Spring Boot with Apache Kafka®, covering project setup, message publishing/receiving, topic creation, stream processing, and Confluent Cloud integration through hands-on exercises and demonstrations.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Kafka Connect Tutorials - Kafka Connect 101

Comprehensive guide to Kafka Connect: learn core concepts, setup, configuration, deployment, troubleshooting, and advanced features for efficient data integration with Apache Kafka.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Apache Kafka Tutorials - Kafka 101

Comprehensive introduction to Apache Kafka®, covering architecture, core concepts, and ecosystem. Includes hands-on examples for practical understanding of this powerful event streaming platform.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Apache Kafka Fundamentals

Learn Apache Kafka® essentials, including its architecture, use cases, and integration. Explore the Confluent Platform and gain practical insights for implementing Kafka in your environment.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

KSQLDB Videos by Confluent

Comprehensive video series on ksqlDB, covering demos, integrations, use cases, installation, core concepts, data manipulation, and production deployment for stream processing with Apache Kafka.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Overview - Monitoring Kafka in Confluent Control Center

Learn to monitor Kafka clusters using Confluent Control Center, covering cluster health, message delivery, performance optimization, and real-world scenarios.

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

Streams API for Apache Kafka - Produced by Confluent

Learn to build real-time data processing applications using Apache Kafka's Streams API, covering creation, data transformation, and advanced techniques.

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

Handle Millions of IoT Devices Connected to Kafka via MQTT

Learn to manage massive IoT device networks using Kafka and MQTT for real-time data ingestion, analysis, and control in applications like vehicle communication and predictive maintenance.

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

Building Nucleus: Community Brands' Real-Time Analytics Platform

Explore the architecture and design of a real-time analytics platform, featuring sub-second latency, cloud-native services, and CDC streams for efficient data processing and customer insights.

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

Beyond a Lifetime of Data: Event-Driven Architecture for Long-Term Customer Data Management

Explore event-driven architecture for managing long-term customer data, addressing data quality issues, and evolving critical data structures in Social Security Administration systems.

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

Getting Data In and Out of Flink - Discover Flink's Connector Ecosystem

Explore Flink's connector ecosystem, learn about source and sink interfaces, and discover how to integrate with various data sources. Gain insights into contributing to Flink's development.

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

Evolution of Real-time User Engagement Event Consumption at Pinterest - Current 2023

Explore Pinterest's evolution in real-time event processing using Apache Flink, improving data quality and efficiency while saving millions in infrastructure costs and boosting user engagement.

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

Need for Speed: Machine Learning in the Era of Real-Time

Explore the evolution of real-time machine learning techniques, addressing low latency, dynamic data adaptability, and resource efficiency challenges in modern ML systems.

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