大数据:一个研究议程

A. Cuzzocrea, D. Saccá, J. Ullman
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引用次数: 122

摘要

最近,人们对大数据产生了浓厚的兴趣,这主要是由于与现实生活中的应用和系统密切相关的大量研究问题,如表示、建模、处理、查询和挖掘大规模、分布式、大规模存储库(大多是非结构化的)。受这一主要趋势的启发,本文讨论了大数据研究的三个重要方面,即大数据的OLAP、大数据发布和大数据隐私。我们还描绘了未来的研究方向,从而隐含地定义了一个研究议程,旨在引领该研究领域未来的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data: a research agenda
Recently, a great deal of interest for Big Data has risen, mainly driven from a widespread number of research problems strongly related to real-life applications and systems, such as representing, modeling, processing, querying and mining massive, distributed, large-scale repositories (mostly being of unstructured nature). Inspired by this main trend, in this paper we discuss three important aspects of Big Data research, namely OLAP over Big Data, Big Data Posting, and Privacy of Big Data. We also depict future research directions, hence implicitly defining a research agenda aiming at leading future challenges in this research field.
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