Kafka Streams - Real-time Stream Processing - Book Appendix
Learn real-time stream processing with Kafka Streams, from installation to application development and testing. Covers multi-node clusters, Windows setup, and IntelliJ IDEA configuration.
Kafka Streams with Spring Cloud
Learn Apache Kafka Streams with Spring Cloud for real-time data processing. Covers setup, message production, stream processing, serialization, aggregation, windowing, joins, and testing.
Hands-On Real Time Stream Processing for Machine Learning
Explore real-time stream processing for machine learning with hands-on examples, covering key concepts like windowing, checkpointing, and scalable architectures for continuous data analysis.
Zero Code Systems - Hopes, Myths and Reality
Explore low-code systems, their potential and limitations in business contexts. Learn from real-world experiences and discover innovative approaches to streamline development processes.
Streaming Data Platforms & Clojure
Explore building a scalable streaming data platform using Clojure, Kafka, and Cassandra. Learn key concepts and live-code a system that handles high-volume, real-time data processing efficiently.
Real Time Stream Processing for Machine Learning at Massive Scale
Practical insights on building scalable data streaming ML pipelines for real-time processing using Python, Kafka, SpaCy, and Seldon. Covers key concepts and best practices through a Reddit comment moderation case study.
Building High Performance Real-time Stream Processing Microservices - GeeCON 2023
Discover best practices for real-time stream processing, addressing challenges and optimizing projects for scalability, performance, failover, reliability, and data recovery using the Hazelcast platform.