摘要
当前大数据技术已在社会各个领域得到广泛应用,数据质量的优劣直接关系到应用服务的性能。文章首先介绍大数据的兴起与特点。然后针对Web大数据的质量问题,探讨利用大数据方法进行数据质量管理的思路,对现有的数据处理方法进行了梳理和分类,并对其优缺点进行了比较分析。最后总结全文并对大数据质量管理的应用前景进行了展望。
Currently,big data technology has been widely used in all social aspects and data quality is very important for the performance of the network. First of all, the rise of big data and its characteristics are briefy introduced. Then, according to the quality of Web big data, this paper discusses the method of using big data technology to manage data quality, analyzes the existing data processing method and classifcations, and compares the advantages and disadvantages. Finally, the application prospect of big data quality management is discussed.
出处
《信息通信技术》
2017年第4期60-64,共5页
Information and communications Technologies
关键词
大数据
数据质量
数据清洗
信息处理
Big Data
Data Quality
Data Cleaning
Information Processing