Research And Application Of NoSQL Logic Modeling Transformation Based On Cloud Computing

With the rapid development of Internet web technologies and the growth of the amount of data, the continuous development and evolution of the application areas promote the changes in data storage and management, and appear lots of new data management technology. With the rise of cloud computing, and traditional relational databases face a variety of pressures and challenges, such as mass data storage and management, high availability and high scalability, the cloud data management becomes a very popular field of study. Considering the characteristics and needs of cloud computing, and learning from the experience of the existing data management techniques, research and develop data management systems for cloud computing have become an important research topic, which has great theoretical and practical significance.As an effective solution for cloud data management, No SQL systems regard the high availability, high scalability and support huge amounts of data as the goal, and widely used in cloud computing. In this paper, research and application are based on Mongo DB database which is a typical representative of the No SQL system. The main research contents are as follows:This paper starts with the concept and characteristics of cloud computing, and analysis the challenges of cloud data management. The paper introduce the concept, characteristics and theoretical basis of the No SQL systems, analysis the design principles and features of the mainstream No SQL systems, and compare the No SQL systems with the traditional relational database in the data model, system architecture, scalability and other aspects. Finally, for the problems of existing traditional manufacturing enterprise IT information management, analysis the feasibility of Mongo DB modeling, design and implement a highly scalable, highly reliable E-SPRA system based on Mongo DB.