Design,Development And Application Of Public Transportation Big Data Platform Based On Hadoop

With the continuous deepening of contemporary computer informatization,both foreign and domestic Internet giants are very optimistic about the commercial application prospects of big data technology in the future society.Therefore,the new direction of application practice of large Internet companies seeking technological advantages is to large-scale Technical research.At the same time,the application of big data in various industries and fields also provides a lot of convenience for all aspects of our lives.On the other hand,compared with the commercial field,relevant government departments have not applied the technology of big data in depth from the perspective of public management,nor have they fully understood the actual meaning and value of big data applications.For example,for public security organs,although they have mastered a large amount of basic social information,The development and application of big data is becoming more and more extensive,in the face of today’s more diversified forms of illegality and crime,the public security organs cannot be timely.,Accurate handling of such problems,it is precisely the development of informatization that brings challenges to relevant departments.In response to these problems,it is not difficult to find that the greater advantage of public security agencies in the development of new informatization lies in their ability to master the pre-informatization work.They should use their own advantages to do a good job in the intelligentization of public security operations under the background of big data,and comprehensively improve the combat against crime.Level and social service capacity.The research carried out in this article explores the construction of urban smart public security in accordance with big data related theories,selecting comparative studies,literature analysis,and case studies to further explore the important role of urban smart public security in the development of today’s era This is also a requirement for improving city safety,promoting social stability and harmony,improving the service capabilities of public security departments,and reducing illegal and criminal behavior.The author comprehensively studied the current situation of urban smart public security construction,based on the current foundation,optimized interconnection channels,and further expanded according to the existing resource sharing platform and its data scale.In the analysis,we also discovered the shortcomings of the current urban smart public security construction,such as untimely sharing of information,common information barriers,and limited data storage.In response to the above problems,the author’s research work is mainly in the following three aspects:1)Use the OpenStack platform as the underlying foundation of Hadoop big data,create multiple virtual machines through OpenStack,and let Hadoop perform related deployment work on the above virtual machines.2)Use the CDH version of the Hadoop big data system to perform distributed storage,calculation and analysis of the data of public security agencies.3)Use DeepID face algorithm to lock uncivilized or illegal people in public transportation.