Systems and Algorithms for Big Data Analytics

大数据分析系统和算法

• 批准号: 311981-2013
• 负责人: Aboulnaga, Ashraf
• 金额: $ 1.13万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=548584
• 关键词: Systems; Algorithms; Big; Data; Analytics

Analyzing massive data sets to extract knowledge and gain insights has become a cornerstone activity in business and science. This area of research is known as Big Data analytics, and it has become a fertile ground for research and innovation. Businesses now own petabyte-scale data warehouses that are accessed on a regular basis to perform complex analytics, and scientific discovery in many fields has also come to rely on sophisticated analysis of Big Data. The importance of Big Data is illustrated by the April 2012 announcement that the US government will invest US$200 million in research activities in this area. Canada will similarly benefit from research into this area, and it is in Canada's interest to be at the forefront of such research.

分析海量数据集以提取知识并获得见解已成为商业和科学的基石活动。这一研究领域被称为大数据分析，它已成为研究和创新的沃土。企业现在拥有PB级的数据仓库，定期访问这些数据仓库以执行复杂的分析，许多领域的科学发现也依赖于对大数据的复杂分析。2012年4月，美国政府宣布将投资2亿美元用于这一领域的研究活动，这说明了大数据的重要性。加拿大也将从这一领域的研究中受益，走在这类研究的前列符合加拿大的利益。