[ "周傲英(1965-),男,华东师范大学副校长、数据科学与工程学院院长,主要研究方向为Web数据管理、数据密集型计算、内存集群计算、分布事务处理、大数据基准测试和性能优化。曾获得国家杰出青年基金,入选长江学者计划特聘教授。目前担任第七届国务院学科评议组成员、中国计算机学会数据库专业委员会副主任、《计算机学报》副主编;曾任ER’2004大会主席,ICDE’2009、ICDE’2012 PC副主席,VLDB’2014 PC共同主席。" ]
网络首发:2017-03,
纸质出版:2017-03-20
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周傲英. 感悟大数据——从数据管理和分析说起[J]. 大数据, 2017,3(2):2017014.
Aoying ZHOU. Understanding on the big data:beyond the data management and analytics[J]. Big data research, 2017, 3(2): 2017014.
周傲英. 感悟大数据——从数据管理和分析说起[J]. 大数据, 2017,3(2):2017014. DOI: 10.11959/j.issn.2096-0271.2017014.
Aoying ZHOU. Understanding on the big data:beyond the data management and analytics[J]. Big data research, 2017, 3(2): 2017014. DOI: 10.11959/j.issn.2096-0271.2017014.
大数据依然很热,对其解读也越发众说纷纭。结合笔者长期以来的研发经历和深层思考,讨论了对“大数据”本身、“大数据”国家战略、“互联网+”行动计划的理解。在大数据语境下重提数据库理念,说明这对于理解数据管理的发展趋势、把握技术发展的机遇有着重要的意义。此外,从一个资深的IT学者和实践者的角度,讨论近10年来IT发展范型的变化,介绍了近5年来笔者领导研发的3个数据管理系统,提出了分享型数据的概念,作为区块链背后的基本思想的抽象。
Big data is still a buzzword,and more and more people are talking about it with various kinds of different explanations.Based on writer’s understanding,the big data,big data strategy and “internet plus” initiative will be discussed here.The database philosophy was revisited,for understanding the development of data management is meaningful to catch the good opportunities in big data era.Moreover,from the point of view of a senior IT professional,the development paradigm for IT has been shifted in the past decade.The change was described,and three systems and their development and deployment were presented.A new concept,sharing database,was proposed to catch up the notion behind the block chain.
李战怀 , 王国仁 , 周傲英 . 从数据库视角解读大数据的研究进展与趋势 [J ] . 计算机工程与科学 , 2013 , 35 ( 10 ): 1 - 11 .
LI Z H , WANG G R , ZHOU A Y . Research progress and trends of big data from a database perspective [J ] . Computer Engineering & Science , 2013 , 35 ( 10 ): 1 - 11 .
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周傲英 , 钱卫宁 , 王长波 . 数据科学与工程:大数据时代的新兴交叉学科 [J ] . 大数据> ,2015022.
ZHOU A Y , QIAN W N , WANG C B . Data sciences and engineering:an emerging interdisciplinary in the big data era [J ] . Big Data Research ,2015022.
美国国家学术院国家研究委员会.海量数据分析前沿 [M ] . 华东师范大学数据科学与工程研究院 ,译. 北京 : 清华大学出版社 , 2015 .
National Research Council of the National Academies.Frontiers in massive data analysis [M ] . Translated by Data Science and Engineering Research Institute of East China Normal University . Beijing : Tsinghua University PressPress , 2015 .
GHEMAWAT S , GOBIOFF H , LEUNG S T . The Google file system [C ] // The ACM Symposiumon Operating Systems Principles (SOSP),October 19-22,2003,Lake George,NY,USA , New York : ACMPress , 2003 : 29 - 43 .
DEAN J , GHEMAWAT S . MapReduce:simplified data processing on large clusters [C ] // The 6th Symposium on Operating System Design and Implementation,December 6-8,2004,San Francisco,USA , New York : ACM Press , 2004 : 137 - 150 .
HEY T , TANSLEY S , TOLLE K M . The fourth paradigm:data-intensive scientific discovery [J ] . Proceedings of the IEEE , 2009 , 99 ( 8 ): 1334 - 1337 .
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