Apache Flink: Stream and Batch Processing in a Single Engine

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Apache Flink is an open-source system for processing streaming and batch data. Flink is built on the philosophy that many classes of data processing applications, including real-time analytics, continuous data pipelines, historic data processing (batch), and iterative algorithms (machine learning, graph analysis) can be expressed and executed as pipelined fault-tolerant dataflows. In this paper, we present Flink’s architecture and expand on how a (seemingly diverse) set of use cases can be unified under a single execution model.

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Apache Flink-Stream and Batch Processing in a Single Engine.pdf (287.92 KB)

2017-3-10 12:09:47 上传

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关键词：Processing processI Process SINGLE Engine

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