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Comprehensive exploration of Apache Kafka's internal architecture, covering key components, protocols, and advanced features for scalable, real-time event streaming systems.
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 to build real-time data processing applications using Apache Kafka's Streams API, covering creation, data transformation, and advanced techniques.
Explore Apache Kafka® replication: challenges, approaches, monitoring, and failure handling. Gain practical insights through Docker and Jupyter notebook experiments, with code available on GitHub.
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