Application Research of Spark in Corporate Online Data Monitoring and Analysis

Zhongping Xu, Dandan Qin, Yaqing Liu, Shouchao Li, Zhaoyuan Zhang
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Abstract

Power grid companies produce and collect massive amounts of data in production and operation, operation management, marketing management, etc. Using data analysis to reflect the status of power grid company operation, mining the deep value of data, and boosting decision analysis for corporate management, are the key for digital transformation. Spark, which has both advanced architecture and high computational efficiency, is used to build an online data monitoring and analysis platform for enterprises. Such platform is aiming to improve the cross-discipline and cross-module data processing and data mining capabilities for power grid companies. Thus, all-service and all-scenario data acquisition is achieved; and its analysis models can be applied and reused. Lastly, it uses results from high-speed, high-quality data analysis to promote business development enabled by the application of corporate data.
Spark在企业在线数据监控与分析中的应用研究
电网企业在生产经营、运营管理、营销管理等方面产生和收集大量数据。利用数据分析反映电网公司运营现状,挖掘数据深层价值,促进企业管理决策分析,是实现数字化转型的关键。Spark架构先进,计算效率高,为企业搭建在线数据监控分析平台。该平台旨在提高电网企业跨学科、跨模块的数据处理和数据挖掘能力。从而实现全业务、全场景的数据采集;其分析模型具有可应用性和可重用性。最后,利用高速、高质量的数据分析结果,推动企业数据应用带来的业务发展。
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