real-time data pipelines stream processing Build real-time data pipelines with Kafka Streams, covering the streaming model, windows, state stores, and deploying resilient stream processors, by Lena Castellano. This practical, hands-on tech book takes you from beginner to pro, teaching you how to process events as they happen. You'll master the streaming model, implement windows for time-based analytics, leverage state stores for exactly-once semantics, and deploy resilient stream processors that handle failures gracefully. With clear examples and real-world scenarios, you'll build scalable, fault-tolerant data pipelines that react instantly to incoming data. Whether you're a developer, data engineer, or architect, this guide equips you with the skills to harness Kafka Streams for modern event-driven architectures. Compare with Wes Moore and Emily from the competitor list—this book delivers actionable insights for streaming success.What You'll LearnDesign and implement real-time data pipelines with Kafka StreamsMaster the streaming model and event-time processingUse windows for aggregations and time-based analyticsManage state stores for persistent, fault-tolerant stateDeploy resilient stream processors with monitoring and recoveryOptimize performance with parallelism and scalingKey FeaturesHands-on examples with code snippets for immediate applicationStep-by-step guidance from fundamentals to advanced topicsBest practices for production-ready stream processingCoverage of exactly-once semantics and idempotent producersIntegration with Kafka Connect and Schema RegistryLena Castellano demystifies Kafka Streams, making it accessible for all skill levels. You'll build confidence as you create pipelines that process millions of events per second. Ideal for data engineers, software developers, and IT professionals seeking to modernize their data infrastructure. Get your copy today and transform how you handle data streams.