Proceedings of the Fourth Workshop on Data analytics in the Cloud

Asterios Katsifodimos
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Abstract

Data nowadays comes from various sources including log files, transactional applications, the Web, social media, scientific experiments, and many others. In recent years, various analyses of these data have proven useful to aid companies in engaging and serving their users and defining their corporate strategy, help political candidates win elections, and transform the process of scientific discovery. However, these successes are just the tip of the iceberg: Every day, new, more complex analysis techniques are devised and larger, more varied datasets are accumulated. Tackling the complexity of both the data itself and its analysis remains an open challenge.
第四届云数据分析研讨会论文集
如今的数据来自各种来源,包括日志文件、事务性应用程序、Web、社会媒体、科学实验等。近年来,对这些数据的各种分析已被证明对帮助公司吸引和服务用户、制定公司战略、帮助政治候选人赢得选举以及改变科学发现过程非常有用。然而,这些成功只是冰山一角:每天都有新的、更复杂的分析技术被设计出来,更大、更多样化的数据集被积累起来。处理数据本身及其分析的复杂性仍然是一个公开的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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