| Gulnara Nabibayova Development of a distributed smart OLAP system in an e-government environment |
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| Abstract. This article reviews e-government models G2C (Government to Citizens), G2B (Government to Business), G2G (Government to Government), G2E (Government to Employees), which ensure providing various public services along with the data sharing between government organizations, as well as the data sharing between government organizations and the integration of various autonomous systems under these organizations. Recently, various government organizations have been widely using OLAP (On Line Analytical Processing) technology, which is a data warehouse component and tool. Today, in the era of Industry 4.0, there is a continuous increase in the volume of data generated in various e-government registries. This data enters the data warehouse and creates serious problems for traditional OLAP. In this regard, this article emphasizes the need to move from traditional OLAP to smart OLAP. The article presents a new approach to the concept of “smart OLAP” and develops an architectural and technological model of distributed smart OLAP system within the framework of e-government. The basis of the system are the Data Marts (DM). Each DM refers to a specific area of e-government. The key component of DM is an OLAP, which integrates with blockchain, neural networks and Data Mining. The article takes into account the presence of the spheres on the e-government platform with a hierarchical structure in terms of data collection according to geographical or organizational distribution. The system can also perform queries and generate reports traditionally. |
| Keywords: Smart OLAP, Data Warehouse; Data Marts; OLAP-cube, private blockchain, Neural Networks, Data Mining, e-government |
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| DOI: https://doi.org/10.54381/itta2024.32 |