Design And Implementation Of E-commerce Data Service System Based On Massive Data Assets

Today,with the rapid development of Internet technology,and with the advent of the era of big data,the amount of information generated is increasing.The awareness of the data produced by various industries has been continuously improved,especially for the e-commerce industry,whose data is exploding,and it is actively building enterprise-level data warehouses and integrating multiple types of data resources.Undoubtedly,the accumulated data is a data asset that can bring economic value to the enterprise.In the era of "Internet+",the data-driven development approach is gradually becoming the core competitiveness of enterprises,and establishing differentiated competitive advantages for them.Based on massive data assets,it can also assist enterprises in making accurate decisions.Construct an e-commerce data service system,effectively utilize the massive data assets accumulated inside and outside the enterprise and improve management efficiency,realize open sharing and value realization of data assets,effectively improve the ability of enterprise data assets to provide services internally and externally and bring practical Economic benefits.The data service system designed and developed by this thesis is built on the big data platform The whole system adopts the development mode of separation between front and back.The front end is implemented based on React engine technology.The server uses SpringBoot development framework.The front end and the server end pass JSON way to interact.Git version control tools are used in system development,and Maven project construction and deployment methods are used.Kafka,Sparky Redis and other technical frameworks are also used in other components.Through the development model of the framework structure,the overall collaboration and development efficiency of the team is further improved.In the whole project development cycle,the idea of software engineering methodology was applied and the system requirements analysis and project research work were deeply involved,and finally the system architecture design,function module design and database structure design were completed.In the system construction,it is mainly responsible for the design and research and development of relevant data analysis module,user login verification module,timed task scheduling module,API gateway service module and monitoring alarm module.Finally,the functional test and non-functional test of each module are completed,and the system-related performance optimization tasks are actively involved.At present,the system has completed all the development and testing work and is in the test operation phase.The functional modules that the author is responsible for are running normally and stably,and have reached the expected design goals of the system.