| Title | Design and Implementation of Distributed Government Audit System Based on Multidimensional Online Analysis |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Tian, Z. |
| Conference Name | 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) |
| Date Published | jul |
| Keywords | Analytical models, Big Data, Data models, Design and implementation, Distributed databases, Distributed government audit, Government, Human Behavior, multidimensional online analysis, Programming, pubcrawl, Resiliency, Scalability, Security Audits, Sparks |
| Abstract | With the continuous progress of the information age, e-commerce, the Internet of things and other emerging Internet areas are gradually emerging. Massive amount of structured data auditing becomes a major issue. Log files and other data can be uploaded to the cloud via the Internet to guard against potential threats. Difficulty now is how to realize the data in the field of data audit query online, interactive and impromptu. There are two main methods of data warehouse, respectively is zhang table reduction method and basic data verification method. In the age of big data, data quantity increases gradually, so that the audit speed, design of the data storage and so on will be more or less problematic. If the audit task is not completed in time, it will result in the failure to store the audit data, which will cause losses to enterprises and the government. This paper focuses on the data cube physical model and distributed technical analysis, through the establishment of a set of efficient distributed and online auditing system, so as to make the data fast and efficient auditing. |
| DOI | 10.1109/ICPICS50287.2020.9202396 |
| Citation Key | tian_design_2020 |
Design and Implementation of Distributed Government Audit System Based on Multidimensional Online Analysis