Algorithm for Data Format Conversion and Compatibility Guarantee in Technical Platforms for Cross Platform Application Integration

With the development of information technology, cross platform application integration is facing issues such as inconsistent data formats and compatibility, while data security issues are becoming increasingly prominent. In addition, due to the explosive growth of data scale, the demand for real-time processing is also increasing. Therefore, how to improve the computing speed of the system is an urgent problem that needs to be solved. In the field of computer science, the above problems mainly manifest in issues such as data flow, consistency, and security across multiple computing environments. This article studies a method for data format conversion and compatibility assurance based on a technology middleware, which integrates multi-source data through the technology middleware to ensure data integrity and consistency. At the same time, a secure sharing mechanism is provided to ensure the circulation and use of data between different users and platforms. The platform will also support more programming and optimize the data processing process, thereby improving the system's processing speed. The study found that this method exhibits superior performance in terms of data conversion speed, system response time, CPU and memory utilization efficiency. Especially in terms of data accuracy, this method achieves 98% and 99% accuracy in handling JSON and SQL Database data, respectively. In terms of security, the data encryption score is as high as 95.6. The method applied in this article effectively solves the format conversion and compatibility issues in cross platform data exchange, while strengthening data security and improving the overall performance of the system.

I. Introduction

Today, with the rapid development of information technology, higher requirements have been put forward for cross platform data interaction. With the increasing diversification of enterprise business and explosive growth of data scale, there are certain differences in data formats between various platforms and application software, resulting in a large number of compatibility issues. This not only restricts the flow and sharing of data, but also poses security risks to the data. At present, although existing PaaS platforms have achieved this goal to some extent, they still face issues such as data format conversion efficiency, data compatibility, and data transmission security. This article studies and designs a platform data format migration and compatibility assurance method that supports cross platform application fusion, thereby improving the platform's operational efficiency and security performance to meet the needs of modern computer systems.