Practice and application of distributed data quality management system in power enterprise

As the improvement of the enterprise’s informationalization level and the increasing management requirement of enterprise refinement,the demand of data management of enterprise is becoming greater and greater,how to improve the data quality of the enterprise is the key problem needed to be solved. A...

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Main Authors: Yuanning LI, Sen LIU, Shijun ZHANG, Feng CHEN, Zhiying WANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-04-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016104/
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author Yuanning LI
Sen LIU
Shijun ZHANG
Feng CHEN
Zhiying WANG
author_facet Yuanning LI
Sen LIU
Shijun ZHANG
Feng CHEN
Zhiying WANG
author_sort Yuanning LI
collection DOAJ
description As the improvement of the enterprise’s informationalization level and the increasing management requirement of enterprise refinement,the demand of data management of enterprise is becoming greater and greater,how to improve the data quality of the enterprise is the key problem needed to be solved. Aiming at the challenges of data quality management that the power enterprise faces,some solutions for distributed data quality management were proposed. After researching the system features of data quality,some foreign and domestic cases of big data were analyzed as reference,and a solution based on Hadoop distributed processing framework was given to solve the performance bottleneck of centralized data quality system. Hadoop clustering could dissociate defect data from Oracle and the data would be stored separately on multiple servers of the clustering,which could improve the I/O performance and data analysis performance of the magnetic disk effectively.
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institution Kabale University
issn 1000-0801
language zho
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publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-4401b59ee8f744c4be2e4990f801a48a2025-01-15T03:15:12ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-04-013216917459609764Practice and application of distributed data quality management system in power enterpriseYuanning LISen LIUShijun ZHANGFeng CHENZhiying WANGAs the improvement of the enterprise’s informationalization level and the increasing management requirement of enterprise refinement,the demand of data management of enterprise is becoming greater and greater,how to improve the data quality of the enterprise is the key problem needed to be solved. Aiming at the challenges of data quality management that the power enterprise faces,some solutions for distributed data quality management were proposed. After researching the system features of data quality,some foreign and domestic cases of big data were analyzed as reference,and a solution based on Hadoop distributed processing framework was given to solve the performance bottleneck of centralized data quality system. Hadoop clustering could dissociate defect data from Oracle and the data would be stored separately on multiple servers of the clustering,which could improve the I/O performance and data analysis performance of the magnetic disk effectively.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016104/data quality managementdistributedHadoop
spellingShingle Yuanning LI
Sen LIU
Shijun ZHANG
Feng CHEN
Zhiying WANG
Practice and application of distributed data quality management system in power enterprise
Dianxin kexue
data quality management
distributed
Hadoop
title Practice and application of distributed data quality management system in power enterprise
title_full Practice and application of distributed data quality management system in power enterprise
title_fullStr Practice and application of distributed data quality management system in power enterprise
title_full_unstemmed Practice and application of distributed data quality management system in power enterprise
title_short Practice and application of distributed data quality management system in power enterprise
title_sort practice and application of distributed data quality management system in power enterprise
topic data quality management
distributed
Hadoop
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016104/
work_keys_str_mv AT yuanningli practiceandapplicationofdistributeddataqualitymanagementsysteminpowerenterprise
AT senliu practiceandapplicationofdistributeddataqualitymanagementsysteminpowerenterprise
AT shijunzhang practiceandapplicationofdistributeddataqualitymanagementsysteminpowerenterprise
AT fengchen practiceandapplicationofdistributeddataqualitymanagementsysteminpowerenterprise
AT zhiyingwang practiceandapplicationofdistributeddataqualitymanagementsysteminpowerenterprise