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Explore headless data architecture: decouple computation from storage, enable modular ecosystems, and streamline data processing for real-time and analytical use cases.
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.
Explore event-driven microservices in banking and fraud detection. Learn about isolation, resilience, performance improvement, security, and polyglot architecture for modernizing systems.
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.
Explore the tradeoffs between Event-Driven and Request-Driven Architectures. Learn about reactivity, coupling, consistency, historical state, flexibility, and data access in both approaches.
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.
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.
Explore enterprise-level stream processing with Apache Flink. Learn about lifecycle management, SQL development, multi-tenancy, security, and deployment options for robust, scalable solutions.
Explore MQTT and Kafka integration for scalable IoT architectures, focusing on Rimac's Hypercar Platform to handle millions of data points and deliver seamless customer experiences.
Explore Oxia, a scalable metadata framework for distributed messaging systems. Learn how it simplifies event streaming architectures and handles millions of topics without ZooKeeper's complexities.
Explore challenges and clever solutions for expanding Kafka infrastructure. Learn to optimize resources, streamline pipelines, and refocus on core business objectives as your system grows.
Explore the synergy between Kafka and ClickHouse for high-performance, real-time data processing and analytics. Learn to build end-to-end solutions using ClickPipes with a live demonstration leveraging OpenSky data.
Leverage large language models and real-time data to build intelligent applications with improved accuracy using Retrieval Augmented Generation. Explore AI-driven experiences and vector search capabilities.
Learn to create data pipelines from edge to cloud using open-source Strimzi on Kubernetes, enabling real-time data streaming across your organization.
Explore AWS S3 integration with Kafka for efficient data backup, restoration, and analytics. Learn best practices, open-source connectors, and seamless implementation techniques.
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