The Design and Implementation of Audit Information Systems for Small and Medium-sized Internet Financial Institutions

Based on the combination of big data technology to the audit of networked financial institutions, this paper takes Hadoop and spark big data processing ecosystem framework as the foundation, combining HDFS distributed storage, map-reduce computing, and spark streaming data interface and other components, and completes the package and release of the system in the SSH development environment in Java language environment. The system is presented in the form of the Web, which is convenient for auditors to complete all kinds of inquiries, identification of financial fraud, and risk assessment of financial fraud through a simple and convenient operation. It provides comprehensive application solutions for the problems of complexity, concealment, difficulty, and risk in the audit of financial fraud in the data age. It not only improves auditors’ ability to deal with financial fraud, but also helps to standardize the behavior of enterprise information disclosure, and further makes a beneficial attempt for the digitalization and informatization construction of financial audits.