摘要
随着现代科学技术的发展,源源不断的数据开始出现,为了合理利用这些数据,大数据科学应用而生,并逐渐开始服务于一些产业。并且世界各国各公司也制定了相关的大数据发展战略。本文介绍了大数据分析常用的方法与应用,诸如统计分析、数据挖掘、数据可视化,也介绍了大数据处理中批量式处理数据系统、流式数据处理系统两种常用处理系统,并简单介绍了大数据处理流程,最终也总结了大数据发展过程中所面临的机遇与挑战。
Where there are developments of science and technology,there are waves of data made available.Utilize the data better,big data science arises which gradually severs some industries.And different companies and countries make different strategies to promote the progress of data science research.Our paper illustrate the fundamental methods for data analysis,such as statistics analysis,data mining、data visualization.And it also states the two different processing methods of batch processing and stream processing and four different processing systems of batch processing system,stream processing system,interactive data handing system and graph processing system and the basic processes in big data.Finally,opportunities and challenges are analyzed which may be faced in future.
出处
《科技创新导报》
2017年第36期139-144,146,共7页
Science and Technology Innovation Herald
关键词
大数据
大数据分析方法
大数据系统
机遇与挑战
Big data
Data analysis methods
Data processing systems
Opportunities and challenges
