Research And Implementation Of Cloud Native Technology Consulting Data Classification Indexing Service Platform

Cloud native technology consulting data classification indexing service platform is an efficient and easy-to-use data classification indexing and analysis service platform for technology consulting experts and business personnel.With the continuous development of the Internet and the industry,the digital transformation of science and technology consulting has become an inevitable development trend,and how to quickly build data assets in the field of science and technology consulting and realize the value of data has become the core issue of digital transformation.To address the problems and challenges faced in digital transformation,the platform gives solutions for data modeling,data processing,data analysis and other aspects from the scientific and technical consulting scenario,and uses cloud-native technology to solve problems such as deployment and environmental conflicts in order to provide more comprehensive and convenient data classification and citation analysis services.Although researchers at home and abroad have conducted a lot of research in digital construction,the research on digital transformation of science and technology consulting is less and has more deficiencies and problems:1)Complex and inaccurate modeling of technology consulting entity portraits:large differences between different entity attributes,irregular label structure,time-consuming and laborious modeling;2)the problem of inefficient and difficult to expand interactive queries in technology consulting scenarios:existing OLAP analysis methods are difficult to meet both low latency detailed query and aggregation query,and no adaptation for tag expansion and multi-label scenarios;3)multi-component cloud-native deployments manage high levels of manual involvement:lack of research on cloud-native biology of different service components in science and technology consulting scenarios,and lack of a complete set of data processing methods on the cloud;4)the problem of the inconvience of user-defined science and technology consulting analysis scenarios:traditional science and technology consulting requires professionals to participate in customization,with long cycle time,inflexibility,and high threshold of use.In view of the above problems and challenges,this thesis focuses on the research and analysis of the modeling of the portrait of science and technology consulting entities and the management of the native deployment of the service cloud under the science and technology consulting scenario,and completes the design and implementation of the cloud-native science and technology consulting data classification and citation service platform,which is divided into the following three main contents.(1)Propose and implement an OLAP analysis method for science and technology consulting entity portraits:design a storage scheme for science and technology consulting entity portraits to address the problems faced in the current modeling process of science and technology consulting entity portraits,such as large differences in attributes,irregular structure of attribute labels,expandable attributes and multiple labels.At the same time,it provides a fast response OLAP analysis method that can flexibly adapt to various business scenarios for interactive query scenarios.(2)Propose and implement a cloud-native deployment management method for science and technology consulting scenarios:The biggest challenge facing the intelligence and digitization of science and technology consulting services is that too much energy is invested in the deployment and operation and maintenance of infrastructure.To this end,we propose a cloud-native deployment management method for technology consulting scenarios,which fully deploys the data processing processes of technology consulting scenarios to the cloud,making up for the lack of data processing solutions on the cloud for the whole process of technology consulting scenarios,enabling users to focus on the utilization of data and specific business scenarios,and promoting the digital transformation of technology consulting.(3)Design and implementation of cloud-native science and technology consulting data classification and citation service platform:by using enterprise data,thesis data,patent data,standard data and other science and technology data resources,combined with a hierarchical citation system that can support the needs of science and technology consulting scenarios,while providing services such as data classification and citation,storage,query and analysis of science and technology entities,we provide users with easy-to-use,flexible and configurable data analysis tools to ensure that even non-technical professionals can access the data.It also provides users with easy-to-use,flexible and configurable data analysis tools to ensure that non-technical professionals can use the data freely.Finally,this paper implements a cloud-native science and technology consulting data classification indexing service platform,providing data classification and coding and analysis services in science and technology consulting scenarios to assist business personnel and consulting experts in providing better quality science and technology results.The platform is also applied to the National Key R&D Program project "Research and Resource Construction of Science and Technology Consulting Data Resource System",which verifies the effectiveness of the proposed method and the practical application value of the platform.