Core Model and Simulation Operation of Economic Management Big Data Platform Based on Cloud Computing

In recent years, big data and cloud computing have emerged as prominent buzzwords in the realm of information technology. The evolution and advancement of data technology are intricately linked to database development, with each novel data technology posing fresh demands on database construction. The establishment of a cloud computing big data platform encompasses various components such as the overall big data architecture, analysis platform software architecture, platform network architecture, and a unified approach to big data platform construction. This study delves into the online interactive data model that leverages cloud computing and big data, highlighting the benefits of their integration into online interactive platforms. It aims to offer valuable insights for professionals in this domain. Drawing from the principles and technologies of cloud computing, as well as the challenges posed by big data in government statistics, this paper outlines the fundamental structure of a statistical cloud. It further elaborates on the architecture, functional modules, and operational workflow of a government statistics platform rooted in cloud computing. To fulfill these functionalities, a comprehensive framework for the platform is designed, encompassing the acquisition, processing, storage, analysis, and secure dissemination of accounting big data. The incorporation of big data theory in the data acquisition phase aims to gather all pertinent accounting big data, both internal and external to the enterprise that can inform business decisions. This ensures enhanced relevance in the quality of accounting information. Leveraging cutting-edge front-end information technology, namely cloud computing, this paper advocates for the development of a more efficient accounting big data analysis platform.