Design And Implementation Of Pujiang Social Security Big Data Platform System

In the age of information,each of us can feel that information-related data is everywhere.We produce massive amounts of data every day in production,life,and social management.Data also greatly influences and changes our production and lifestyle.Beginning with the concept of "big data" first introduced by McKinsey,a world-renowned consulting institution,data is value is forming a consensus in the social insurance industry.The social insurance data aggregates the identity information,employment information,insurance information,credit information,medical information,financial information,etc.of all citizens.It can be described as a "Data Bonanza" that integrates information in government public affairs management.The statistics,analysis and application of big data have expanded the functional permissions of the social insurance system,from the medical treatment in different places to the inter-provincial and municipal transfer of social security,and then to the big data migration involved in the unified tax collection of the provincial social security funds to be promoted.One is not the huge role played by big data to boost,big data changes the social security system and changes people's lives.With the rapid development of the Internet today,the use and promotion of information technology has brought great convenience to people's lives and work.Informatization management technology has also flourished in all walks of life.However,in the relevant government departments,the level of information is relatively backward,so in recent years the relevant government departments have been setting an example for promoting information technology.With the rapid development of big data,big data solutions have become more and more mature.However,the application of big data in the social security information system is still somewhat inadequate.The social security information analysis system based on hadoop big data platform adopts Java as the basic development language,and uses a variety of currently very stable and mature frameworks,such as SSM(Spring,SpringMVC,Mybatis)framework,to develop a basic social security information management system.Through Hadoop technology,we can analyze the massive social security data and present the analysis results more efficiently,accurately and in a timely manner.And on top of that,using Java's support for Hadoop,using MapReduce written in Java to analyze social security data.This paper describes in detail the design and implementation of basic functions of social security information system based on hadoop big data platform.And based on the realization,using hadoop to analyze social security data.It has realized functions such as organization and management,account opening bank management,organization organization personnel management,employment unit management,personal social security management,social insurance management,log collection and analysis,social security personnel age analysis,and social security personnel qualification analysis.Through this system,not only can the social security system be highly informatized,but also the efficiency of the staff of social security agencies can be improved and the workload of the staff can be reduced.And through the analysis of social security data,the potential value of social security data can be tapped to generate real value for social security organizations and enterprises and individuals.