摘要
该文分析了大数据技术的前景与重要性,高校建设大数据实验室的意义和必要性。大数据技术是以数据存储、加工、分析为主,向企业或单位提供决策和预测。该文同时探讨了高校大数据技术课程体系,从科学研究和工程项目两个方向,分别设置相关课程。针对大数据技术实验室建设的几个关键要素进行分析,包括实验室基础平台建设,实验室队伍建设,数据资源建设等。
This paper provides thorough analysis to illustrate the potential and importance of applications of big data technologies,as well as the importance and necessity of building big data laboratory at universities. Big data technology includes data storage,processing and analysis in order to provide a basis of decision-making and forecasting for enterprises or organizations. The paper also discusses how to set up corresponding curriculum focusing on both scientific research and engineering project execution.The discussion mainly focuses on key aspects on building a big data technology laboratory, including the construction of platform infrastructure, lab team formation and development.
出处
《电脑知识与技术》
2017年第4X期132-133,共2页
Computer Knowledge and Technology
基金
"中国地质大学(北京)2016年度教学研究与教学改革项目资助"
项目编号:JGYB201606
国家自然基金委项目:"基于作物生长模型和遥感数据同化的大尺度水稻重金属污染胁迫动态监测"编号:41371407
关键词
大数据
实验室建设
机器学习
Big Data
Laboratory Construction
Machine Learning