Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
(By Fabian Hueske)
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| Author | Fabian Hueske |
Authors Fabian Hueske, one of Flink's creators, and Vasia Kalavri, a core contributor to Flink's graph processing API (Gelly), explains the fundamental concepts of parallel stream processing and shows you how streaming analytics differs from traditional batch data analysis. Software engineers, data engineers, and system administrators will learn the basics of Flink's DataStream API, including the structure and components of a common Flink streaming application.
Solve real-world problems with Apache Flink's DataStream API
Set up an environment for developing stream processing applications for Flink
Design streaming applications and migrate periodic batch workloads to continuous streaming workloads
Learn about windowed operations that process groups of records
Ingest data streams into a DataStream application and emit a result stream into different storage systems
Implement stateful and custom operators common in stream processing applications
Operate, maintain, and update continuously running Flink streaming applications
Explore several deployment options, including the setup of highly available installations”
