Exploration of judgment methods for ODS layer data supporting indicators of smart operation and maintenance applications
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.
Intelligent operation and maintenance applicationODSKey fieldO domainData percentage
国家科技期刊平台
NSTL
万方数据
维普
