摘要
编者按：为了提高大数据领域自主创新能力,促进大数据产业快速发展,国家发展和改革委员会批准组建了13个大数据领域国家工程实验室。作为国家层面的大数据领域创新平台,国家工程实验室受到了大数据领域的从业人员和政府机构等各界人士的热切关注。《大数据》杂志特别策划了＂大数据领域国家工程实验针对大数据分析处理深度与智能化程度不足，大数据分析计算不贯通、数据模型参数复杂，大数据算法易用性差、分析处理链路缺失以及大数据发挥协同效应条件要求高等共性技术与工程化瓶颈，系统地介绍了大数据分析系统国家工程验室研制的大数据分析系统创新平台的技术架构。该平台将重点支持科学计算、政府治理和社会安全等方面的示范应用，通过开放生态向各领域与全行业辐射，推动创新创业发展。
In view of bottlenecks in common technology and engineering faced by big data analysis in our country, such as low level of processing depth and intelligence degree in big data analysis, incoherence of big data analysis and calculation, complexity of model parameters, poor usability of big data algorithms, deficiency of analysis process, and high requirements of synergistic effect played by big data, the innovation platform of big data analysis system developed by the National Engineering Laboratory for Big Data Analysis System （BDASlab） was systematically introduced. The BDASlab will focus on supporting demonstration applications of scientific computing, government governance, social security, and other aspects. The BDASlab will radiate various fields and entire industry through an open ecological-system way, promoting development of innovation and entrepreneurship.
作者
王元卓
靳小龙
程学旗
WANG Yuanzhuo1,2, JIN Xiaolong1,2, CHENG Xueqi1,2(1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; 2. National Engineering Laboratory for Big Data Analysis System, Beijing 100190, Chin)
出处
《大数据》
2018年第1期90-99,共10页
Big Data Research
关键词
大数据分析系统
大数据开放生态
国家工程实验室
big data analysis system, big data open ecology, National Engineering Laboratory
