大数据技术前瞻

doi:10.11959/j.issn.2096-0271.2023009

大数据 ›› 2023, Vol. 9 ›› Issue (1): 1-20.doi: 10.11959/j.issn.2096-0271.2023009

• 战略研究 • 下一篇

大数据技术前瞻

梅宏¹, 杜小勇², 金海³, 程学旗⁴^,⁵, 柴云鹏², 石宣化³, 靳小龙⁴^,⁵, 王亚沙¹, 刘驰⁶

¹ 高可信软件技术教育部重点实验室（北京大学），北京 100871
² 中国人民大学信息学院，北京 100872
³ 华中科技大学计算机科学与技术学院，湖北武汉 430074
⁴ 中国科学院计算技术研究所，北京 100086
⁵ 中国科学院大学计算机科学与技术学院，北京 100049
⁶ 北京理工大学计算机学院，北京 100081

出版日期:2023-01-15 发布日期:2023-01-01
作者简介:梅宏（1963- ），男，博士，北京大学教授、高可信软件技术教育部重点实验室（北京大学）主任，中国科学院院士，发展中国家科学院院士，欧洲科学院外籍院士，中国计算机学会理事长。主要研究方向为软件工程与系统软件
杜小勇（1963- ），男，博士，中国人民大学教授、校长助理，中国计算机学会大数据专家委员会主任，主要研究方向为数据库与大数据
金海（1966- ），男，博士，华中科技大学计算机科学与技术学院教授，中国计算机学会副理事长，主要研究方向为计算机系统结构、并行与分布式计算
程学旗（1971- ），男，博士，中国科学院计算技术研究所研究员、副所长，主要研究方向为大数据分析系统、Web信息检索与数据挖掘等
柴云鹏（1983- ），男，博士，中国人民大学信息学院教授、计算机系主任，主要研究方向为数据库系统、云计算、存储系统等
石宣化（1978- ），男，博士，华中科技大学计算机科学与技术学院教授，主要研究方向为并行与分布式计算、异构计算
靳小龙（1976- ），男，博士，中国科学院计算技术研究所研究员，主要研究方向为知识图谱、知识工程、社会计算、社交网络等
王亚沙（1975- ），男，博士，高可信软件技术教育部重点实验室（北京大学）教授，主要研究方向为大数据分析、普适计算、城市计算
刘驰（1984- ），男，博士，北京理工大学计算机学院教授、副院长，主要研究方向为大数据分析、智能物联网

Big data technologies forward-looking

Hong MEI¹, Xiaoyong DU², Hai JIN³, Xueqi CHENG⁴^,⁵, Yunpeng CHAI², Xuanhua SHI³, Xiaolong JIN⁴^,⁵, Yasha WANG¹, Chi LIU⁶

¹ Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing 100871, China
² School of Information, Renmin University of China, Beijing 100872, China
³ School of Computer Science ＆Technology, Huazhong University of Science and Technology, Wuhan 430074, China
⁴ Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100086, China
⁵ School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
⁶ School of Computer Science ＆Technology, Beijing Institute of Technology, Beijing 100081, China

Online:2023-01-15 Published:2023-01-01

摘要/Abstract

摘要：

世界主要国家高度重视大数据发展，我国也将发展大数据作为国家战略，发展大数据技术具有重要意义。大数据技术涉及从采集、传输到管理、处理、分析、应用的全生命周期以及生命周期各阶段的数据治理。选取数据生命周期中的管理、处理和分析技术以及大数据治理技术来梳理国内外技术发展现状，特别是研判我国大数据技术发展与国际先进技术之间的差距。另外，在大数据应用需求的驱动下，计算技术体系正面临重构，从“以计算为中心”向“以数据为中心”转型，在新的计算技术体系下，一系列基础理论和核心技术问题亟待破解，新型大数据系统技术成为重要发展方向。在计算体系重构的背景下，提出大数据技术发展的四大技术挑战和十大发展趋势。

关键词: 大数据技术, 大数据管理, 大数据处理, 大数据分析, 大数据治理

Abstract:

Major countries in the world attach great importance to the development of big data technology.China also puts big data as a national strategy, of great significance to develop in the long run.Big data technologies include data collection, transmission, management, processing, analysis, and application, forming a data life cycle as well as the data governance related to each procedure.Big data management, processing, analysis, and governance in four areas were seleceted, to identify the gap between China and the world.On the other hand, driven by diverse successful big data applications, the system architecture of computing technology is being restructured.From “computation-centric” to “data-centric”, fundamental computing theories and core technologies need to be redesigned, therefore a new type of big data system technology is becoming an important research direction.Against this background, four technical challenges and ten future development trends of big data technologies were aimed at identifying.

Key words: big data technology, big data management, big data processing, big data analytics, big data governance

中图分类号:

TP399

梅宏, 杜小勇, 金海, 程学旗, 柴云鹏, 石宣化, 靳小龙, 王亚沙, 刘驰. 大数据技术前瞻[J]. 大数据, 2023, 9(1): 1-20.

Hong MEI, Xiaoyong DU, Hai JIN, Xueqi CHENG, Yunpeng CHAI, Xuanhua SHI, Xiaolong JIN, Yasha WANG, Chi LIU. Big data technologies forward-looking[J]. Big Data Research, 2023, 9(1): 1-20.

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大数据技术前瞻

Big data technologies forward-looking

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