Challenges and Trends of Big Data Analytics

Hui Li, Xin Lu
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引用次数: 23

Abstract

This article provides an overview of the challenges of big data, in the aspects of data scale, data heterogeneity, data timeliness, and demand for deep analyzing, in correspondence with four features of big data. It also presents an overview of trends of big data analytics both in theory and technique, with the development of testing benchmark, visualization technology, advanced and mixed architecture, and a series of developing, testing and managing tools, which will contribute to big data analytics with larger scale, more variety and velocity.
大数据分析的挑战和趋势
本文针对大数据的四大特点,从数据规模、数据异构性、数据时效性、深度分析需求等方面概述了大数据面临的挑战。从理论和技术两方面概述了大数据分析的发展趋势,包括测试基准、可视化技术、先进和混合架构以及一系列开发、测试和管理工具的发展,这些将有助于大数据分析的规模更大、种类更多、速度更快。
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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