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G4T269XX
Authors: Paris Carbone, Asterios Katsifodimos, † Kth, Sics Sweden, Stephan Ewen, Volker Markl, Seif Haridi, Kostas Tzoumas
Published: 2015-01-01
Type: journalArticle
Collections: Papers
Links: View on Zotero ↗ · Source PDF ↗
Abstract
Apache Flink 1 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.