用于处理和分析大数据和事件流的软件系统

Aleksandra I. Stojnev, D. Stojanović
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引用次数: 2

摘要

传感器技术、移动定位、物联网和无线通信的进步导致了数据收集、处理、分析、挖掘和可视化应用的发展,以实现实时响应和决策支持,但也为实时处理大量数据带来了新的挑战。开发了各种软件系统,为有效监测、处理、分析和挖掘连续的数据和事件流提供了一套方法、技术、算法和索引结构。本文回顾了数据流处理和分析领域的最新发展,概述了现有系统和技术,并展示了基于当代流处理框架的流处理应用程序的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Software systems for processing and analysis of big data and event streams
Advances in sensor technologies, mobile positioning, IoT and wireless communications have led to development of applications for data collection, processing, analysis, mining and visualization for the purposes of real time responses and decision support, but have also brought new challenges to processing large amount of data in a real time. Various software systems are developed to provide a set of methods, technologies, algorithms and index structures for effective monitoring, processing, analysis and mining of continuous flow of data and events. This paper reviews recent developments in the field of data streams processing and analysis, gives an overview of existing systems and technologies, and demonstrates development of a stream processing application based on the contemporary stream processing frameworks.
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