ODS层数据对智慧运维应用指标支撑的判断方法探索
Exploration of judgment methods for ODS layer data supporting indicators of smart operation and maintenance applications
李泽华 1赵斌 1王平 1杨磊 1万生笑 1黄杰1
作者信息
- 1. 中国广电四川网络股份有限公司,四川成都 610041
- 折叠
摘要
通过对智慧运维大数据ODS层中表及数据量、字段数据占比、关键字段规则检查分析手段,为快速判断ODS层数据对智慧运维应用指标的支撑进行了探索.首先分析ODS层的数据表,确定哪些表有数据,有数据表的数据量,然后分析有数据表的每个字段的数据占比,最后通过关键字段的规则设定,分析符合规则字段的数据量、数据占比和不符合规则字段的数据量,利用以上分析结果达到智慧运维应用指标支撑的快速判断和优化提升ODS层数据质量的目的.
Abstract
By analyzing the table and data volume,field data percentage,and key field rule checking and analysis means in the ODS layer of intelligent operation and maintenance big data,we have explored the support for intelligent operation and maintenance ap-plication indexes by quickly judging the data in the ODS layer.First,analyze the data tables in the ODS layer to determine which tables have data and the data volume of the data tables,then analyze the data percentage of each field with data tables,and finally analyze the data volume,data percentage of the fields that comply with the rules and the data volume of the fields that don't comply with the rules through the rule setting of the key fields,using the above analysis results to achieve the rapid judgment of the support of the intelligent operation and maintenance application indicators and the optimization of improving the data in the ODS layer.
关键词
智慧运维应用/ODS/关键字段/O域/数据占比Key words
Intelligent operation and maintenance application/ODS/Key field/O domain/Data percentage引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据