Research Of The Real-Time Business Intelligence Based On Complex Event Processing

Real-time business intelligence can make up for the latency of traditional business intelligence in data,analysis and decision-making to a certain extent.However,the existing real-time business intelligence platform has static,passive,active and unsolicited information.In view of the main function of business intelligence is to analyze and excavate the information resources of enterprises,find potential business opportunities,and take active measures to deal with,this paper proposes real-time business intelligence based on complex event processing to realize active decisionAbnormal pre-warning function,and can be in a specific condition(such as specific data changes,the system indicators meet the predetermined event rules or to achieve a certain threshold,etc.)are triggered to perform,and thus provide decision information.The main contents of this paper are as follows:First,real-time business intelligence based on complex event processing is proposed for the shortcomings and delays of existing real-time business intelligence.The key technologies of real-time business intelligence and related theories are discussed.The necessity of introducing complex event processing technology and the advantages of applying complex event processing technology to real-time business intelligence are analyzed and discussed.A real-time business intelligence model architecture based on complex event processing is constructed.Secondly,the key technologies of real-time business intelligence based on complex event processing are analyzed,including the distributed data processing technology and the complex event processing technology.The complicated event model and distributed nodes are mainly designed,and distributed Complex Event Processing Architecture.Finally,the platform of real-time business intelligence system based on complex event processing is constructed.The integration of myEclipse and distributed flow processing technology platform Storm and complex event processing engine Esper is used to realize the development of the platform.In this paper,the abnormal transaction monitoring in the securities market is taken as an example to construct the relevant context rule base,and the historical data of the stock trading is simulated by calculating the experiment data stream.The platform is used to monitor the abnormal behavior in the data stream.Event,thus demonstrating the advantages of complex event processing technology in real-time business intelligence applications.