Research Article
Design of Overall Framework of Self-Service Big Data Governance for Power Grid
@INPROCEEDINGS{10.1007/978-3-030-32388-2_19, author={Lin Qiao and Qiaoni Zhou and Chunhe Song and Hao Wu and Biqi Liu and Shimao Yu}, title={Design of Overall Framework of Self-Service Big Data Governance for Power Grid}, proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings}, proceedings_a={MLICOM}, year={2019}, month={10}, keywords={Data governance Power grid Self-service Framework design}, doi={10.1007/978-3-030-32388-2_19} }- Lin Qiao
Qiaoni Zhou
Chunhe Song
Hao Wu
Biqi Liu
Shimao Yu
Year: 2019
Design of Overall Framework of Self-Service Big Data Governance for Power Grid
MLICOM
Springer
DOI: 10.1007/978-3-030-32388-2_19
Abstract
At present, power grid companies have not formed a complete data quality control system and a comprehensive and effective data quality assurance mechanism, which restricts the deep mining of data value. In this paper, based on the full-service unified data center of power Grid Company, a general framework of self-service power grid big data governance is presented. Firstly, the related work of big data governance is reviewed; secondly, the architecture and characteristics of the grid company’s full-service unified data center are analyzed; thirdly, the related requirements of self-service grid big data governance are analyzed; fourthly, the overall framework of self-service grid big data governance is proposed. Compared with other general big data governance framework, the proposed framework considers the specification of power grid as well as the features of self-service, making the framework more feasible.
