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"Get started with Apache Flink, the open source framework that powers some of the world's largest stream processing applications. With this practical book, you'll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink's DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming analytics, and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and loT data, as soon as you generate them."--

Introduction to stateful stream processing -- Stream processing fundamentals -- Architecture of Apache Flink -- Setting up a development environment for Apache Flink -- DataStream API (v1.7) -- Time-based and Window operators -- Stateful operators and applications -- Reading from and writing to external systems -- Setting up Flink for streaming applications -- Operating Flink and streaming applications -- Where to go from here?