Confluent Courses

Operationalizing Pluralsight's Data with Materialize

Discover how Pluralsight leverages Materialize to replace complex streaming systems, enabling real-time analytics and applications through SQL-based materialized views for faster, cost-effective data operations.

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

How Curing "Kafkatosis" Can Improve Your Stream Management and Governance

Learn to recognize and overcome "Kafkatosis" in Kafka environments. Discover strategies to optimize stream management, improve application onboarding, and enhance operational efficiency in diverse cloud and on-prem setups.

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

Producing Apache Kafka Messages Using Apache Flink and Java

Learn to produce Apache Kafka messages using Apache Flink and Java in this comprehensive walkthrough. Covers Flink job setup, Kafka configuration, data generation, serialization, and execution verification.

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

Cloud Kafka Resiliency and Fault Tolerance for Data Streaming Systems

Manage cloud volatility, configure Kafka clients for resilience, and explore error handling in Kafka Streams. Learn idempotent operations and exactly-once processing for robust data streaming applications.

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

Using GitOps as an Efficient CI/CD Pipeline for Data Streaming

Implement GitOps for efficient CI/CD in data streaming platforms, enhancing operations and traceability with Apache Kafka and Confluent Cloud.

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

Robust Disaster Recovery with Kafka and Confluent Cloud - Data Streaming Systems

Explore Kafka resilience, mitigate data loss, and implement disaster recovery strategies using Confluent Cloud for robust data streaming systems.

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

Challenges Using Apache Kafka for Data Streaming Systems

Explore key capabilities of streaming platforms and compare self-managed Apache Kafka with Confluent Cloud's fully-managed services for efficient data streaming operations.

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

Introduction to Event Modeling

Learn event modeling to improve stakeholder communication and app planning. Discover how this approach acts as a blueprint for smoother development and effective teamwork.

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

Apache Kafka 3.5 - Core, Connect, Streams, and Client Updates

Explore key updates in Apache Kafka 3.5, including KRaft migration preview, improved error handling, versioned state stores, and enhanced client-side features for better performance and flexibility.

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

Event Time and Watermarks in Apache Flink

Explore event time, processing time, and watermarks in Apache Flink for effective stream processing and window operations.

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

Event Design and Event Streams Best Practices

Explore best practices for event design and streams: schemas, metadata, naming conventions, and unique IDs. Gain insights to optimize your event-driven architecture.

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

Normalization vs. Denormalization in Event Streaming - Module 4

Explore trade-offs between normalized and denormalized event data models in relational and document databases. Learn strategies for efficient data handling in event streaming systems.

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

Fact vs. Delta Event Types in Event Streaming - Module 2

Explore properties, scenarios, and examples of Fact, Delta, and Composite event types. Learn usage recommendations and avoid pitfalls in event design for effective event streaming.

• YouTube
• 17 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