Information Securtty Big Data Platform Operation And Maintenance Management Optimization

With the deepening of digital transformation,big data has not only become a new key production factor,but also a powerful engine for promoting economic and social development.The information security big data platform,as the fundamental platform of big data technology,has now become an important tool for influencing enterprise decision-making and helping enterprises transform.The information security big data platform has the characteristics of multi-source heterogeneity,enhanced security protection,and enabling business innovation.Therefore,the operation and maintenance management of this type of platform requires continuous improvement of security protection technology,proactive warning of anomalies,and on-demand response to business needs through the development of integrated operation and maintenance.Facing the increasingly complex technology and complex processes of information security big data platforms,how to improve service stability,improve operation and maintenance efficiency,and reduce service costs is not only an urgent problem to be solved in platform operation and maintenance optimization practice,but also an important reference for expanding agile operation theory.The paper takes S Company’s information security big data platform as the research object,relying on push pull anchor theory and business process reengineering theory,and using various methods such as fault text analysis,user interviews,and questionnaire surveys,along the route of sorting out the current situation and problems,analyzing influencing factors and key factors,proposing optimization suggestions,and evaluating the effectiveness,to study the optimization of big data platform operation and maintenance management.The main research conclusions are as follows:(1)Big data technology and the continuous integration technology of integrated development and operation and maintenance serve as the technical driving force,and the requirements of business users for platform stability and service quality serve as the demand pull force,which are important factors in promoting the optimization of operation and maintenance management;(2)The cost of platform operation and maintenance is an important factor that hinders the optimization of operation and maintenance management;(3)Propose measures such as improving personnel incentive mechanisms,optimizing operation and maintenance processes,integrating artificial intelligence technology,and strengthening knowledge base management,with significant evaluation of optimization effects.From the perspective of the stability and service quality of information security big data platforms,the paper analyzes the factors that affect the optimization of operation and maintenance management of big data platforms,proposes optimization suggestions for operation and maintenance management,and provides reference for the operation and maintenance of big data platforms of peer enterprises.