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Get started with Apache Flink, the open source framework that enables you to process streaming dataâ such as user interactions, sensor data, and machine logsâ as it arrives. With this practical guide, youâ ll learn how to use Apache Flinkâ s stream processing APIs to implement, continuously run, and maintain real-world applications.

Produktbeschreibung
Get started with Apache Flink, the open source framework that enables you to process streaming dataâ such as user interactions, sensor data, and machine logsâ as it arrives. With this practical guide, youâ ll learn how to use Apache Flinkâ s stream processing APIs to implement, continuously run, and maintain real-world applications.
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Autorenporträt
Fabian Hueske is a committer to and PMC member of the Apache Flink project and has been contributing to Flink since its earliest days. Fabian is cofounder, software engineer, and community evangelist at data Artisans (now Ververica), a Berlin-based startup that fosters Flink and its community. He holds a PhD in computer science from TU Berlin. Vasiliki (Vasia) Kalavri is a postdoctoral fellow in the Systems Group at ETH Zurich, where she uses Apache Flink extensively for streaming systems research and teaching. Vasia is a PMC member of the Apache Flink project. An early contributor to Flink, she has worked on its graph processing library, Gelly, and on early versions of the Table API and streaming SQL.