Streaming data integration: Challenges and opportunities

Nesime Tatbul
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引用次数: 59

Abstract

In this position paper, we motivate the need for streaming data integration in three main forms including across multiple streaming data sources, over multiple stream processing engine instances, and between stream processing engines and traditional database systems. We argue that this need presents a broad range of challenges and opportunities for new research. We provide an overview of the young state of the art in this area and further discuss a selected set of concrete research topics that are currently under investigation within the scope of our MaxStream federated stream processing project at ETH Zurich.
流数据集成:挑战与机遇
在本文中,我们提出了三种主要形式的流数据集成需求,包括跨多个流数据源、跨多个流处理引擎实例、流处理引擎和传统数据库系统之间的流数据集成。我们认为,这种需求为新研究带来了广泛的挑战和机遇。我们概述了这一领域的最新技术,并进一步讨论了目前在苏黎世联邦理工学院MaxStream联邦流处理项目范围内正在调查的一系列具体研究课题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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