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Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications,Used
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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 lowlatency ETL, streaming analytics, and realtime dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as you generate them. Learn concepts and challenges of distributed stateful stream processing Explore Flink?s system architecture, including its eventtime processing mode and faulttolerance model Understand the fundamentals and building blocks of the DataStream API, including its timebased and statefuloperators Read data from and write data to external systems with exactlyonce consistency Deploy and configure Flink clusters Operate continuously running streaming applications
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