
Learn to build streaming data pipelines using Apache Kafka® and Confluent. Covers data ingestion, real-time transformation with ksqlDB, and data egress. Hands-on tutorials included for practical experience.

Comprehensive tutorial on data mesh architecture, covering its principles, implementation, and practical applications in modern data analytics, with hands-on examples using Confluent's platform.

Explore event sourcing with Apache Kafka®, covering concepts like CQRS and CDC. Learn advantages of storing data as events, implementation techniques, and hands-on practice with Confluent Cloud.

Learn to build streaming applications with Kafka Streams, covering concepts like streams, tables, joins, time windows, and deployment. Gain hands-on experience in processing data stored in Kafka using this functional Java API.

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.

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.

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.

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

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

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.

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

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

Learn Apache Kafka Streams with Spring Cloud for real-time data processing. Covers setup, message production, stream processing, serialization, aggregation, windowing, joins, and testing.

Learn Apache Kafka fundamentals, including installation on Mac. Gain practical skills for distributed streaming platforms and real-time data processing.

Learn Apache Kafka's core concepts, architecture, and functionality. Explore topics, partitions, brokers, Zookeeper, producers, and consumers to understand this distributed streaming platform.

Learn to integrate Apache Kafka with Node.js, covering installation, cluster setup, project initialization, and creating producers and consumers for efficient data streaming.

Learn to integrate Apache Kafka with Spring Boot microservices, covering topics, producers, consumers, and building a RESTful API that interacts with the Kafka ecosystem.

Learn about RabbitMQ, message queues, and their role in large-scale applications and microservices. Explore AMQP, exchange types, and set up a RabbitMQ container in this comprehensive tutorial.

Learn to implement service discovery in microservices using Spring Boot, Spring Cloud, and Eureka. Explore setup, client configuration, and load balancing for building scalable distributed systems.

Learn to build and connect microservices using Spring Boot and Spring Cloud. Explore HTTP communication between services, focusing on maintainability, loose coupling, and independent deployment.

Learn to build microservices with Spring Boot and Spring Cloud. Covers architecture overview, creating a microservice, database integration, and essential tools like Maven and Docker.