Abstract
This paper analyzes the business value and application prospect of data-center-platform as a big data service platform. Based on the existing technology, it describes the organizational structure and data management process of data-center-platform, and studies the business interaction logic and construction elements of data-center-platform. The goal of data-center-platform is to build the center of data sharing in the whole domain, and to provide the services of data collection, data extraction, data service and provide a data intelligent platform for business applications. We analyze the problem of database synchronization in isolated networks faced by data-center-platform during data collection, and the existing database replication technology in detail, and design the process of maintaining data consistency in the same or different databases between different sites in a certain period of time. Finally, we take an equipment data integration system as an example to analyze the specific application of data-center-platform.
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This research is sponsored by State Grid Technology Project “Research and Application of Key Technologies in Enterprise-level Data Center Platform based on Full-Service Unified Data Center” under grants number 5211XT190033.
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Pan, Z. et al. (2020). An Elastic Data Processing Method Based on Data-Center-Platform. In: Xiang, Y., Liu, Z., Li, J. (eds) Security and Privacy in Social Networks and Big Data. SocialSec 2020. Communications in Computer and Information Science, vol 1298. Springer, Singapore. https://doi.org/10.1007/978-981-15-9031-3_6
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DOI: https://doi.org/10.1007/978-981-15-9031-3_6
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