2019•Unpublished venueRequires access

Application and Research of Enterprise-level Business and Data Fusion Data Analysis Service Platform Based on Big Data Technology

Zheng Gaofeng, Han Xuemin, Liu Pengxi, Li Peng Zhou, Deng Xiaoming, Zhongping Xu, Hu Dongliang

Open publisher page 2 citations

Abstract

With the continuous expansion of operation monitoring business, the refinement of data mining needs and the increasing precision of management services in power enterprises, new requirements have been put forward for business management and data management in power enterprises. Traditional business management and data management can no longer meet the requirements of large data mining analysis. There is an urgent need to speed up the construction of enterprise-level business and data fusion data analysis service platform. This paper analyses the background, objectives and ideas of platform construction in detail, and introduces the implementation scheme of enterprise-level business and data fusion data analysis service platform based on big data technology, including the overall architecture design, construction content, etc. The construction of enterprise-level business and data fusion data analysis service platform has important research significance and application value for improving the level of operation and management in an all-round way.

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What this paper is about

With the continuous expansion of operation monitoring business, the refinement of data mining needs and the increasing precision of management services in power enterprises, new requirements have been put forward for business management and data management in power enterprises. Traditional business management and data management can no longer meet the requirements of large data mining analysis. There is an urgent need to speed up the construction of enterprise-level business and data fusion data analysis service platform. This paper analyses the background, objectives and ideas of platform construction in detail, and introduces the implementation scheme of enterprise-level business and data fusion data analysis service platform based on big data technology, including the overall architecture design, construction content, etc. The construction of enterprise-level business and data fusion data analysis service platform has important research significance and application value for improving the level of operation and management in an all-round way.

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Available abstract

With the continuous expansion of operation monitoring business, the refinement of data mining needs and the increasing precision of management services in power enterprises, new requirements have been put forward for business management and data management in power enterprises. Traditional business management and data management can no longer meet the requirements of large data mining analysis. There is an urgent need to speed up the construction of enterprise-level business and data fusion data analysis service platform. This paper analyses the background, objectives and ideas of platform construction in detail, and introduces the implementation scheme of enterprise-level business and data fusion data analysis service platform based on big data technology, including the overall architecture design, construction content, etc. The construction of enterprise-level business and data fusion data analysis service platform has important research significance and application value for improving the level of operation and management in an all-round way.

Key concepts: Enterprise data management, Computer science, Big data, Data management, Service (business), Data virtualization, Data as a service, Process management

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Application and Research of Enterprise-level Business and Data Fusion Data Analysis Service Platform Based on Big Data Technology — Research Paper | ScholarLens