Integrated Management of Potential Financial Risks Based on Data Warehouse
DOI:
https://doi.org/10.5281/zenodo.10970487ARK:
https://n2t.net/ark:/40704/JETBM.v1n2a08PURL:
https://purl.archive.org/suas/JETBM.v1n2a08References:
31Keywords:
Data Warehouse, Financial Risk, Huawei Cloud GaussDB(DWS), Big DataAbstract
A data warehouse is used to manage an enterprise's vast data sets, providing a storage mechanism to transform data, move data, and present it to end users. This paper introduces the challenges and changes facing the financial industry in the Internet era, and the new needs for data warehouse architecture transformation. The traditional data warehouse architecture has many limitations in the utilization of storage space, computing power and processing of real-time data flow, which is difficult to meet the needs of the rapid development of financial services. Therefore, there is an urgent need for financial institutions to transition from traditional warehouses to cloud-based distributed data warehouses. As a new-generation distributed data warehouse service, Huawei Cloud GaussDB(DWS) has the features of high performance, low cost, and easy expansion, meeting the needs of financial warehouses in the era of big data. The paper also introduces the traditional mode of financial risk management system and the related work of data warehouse, as well as the methodology and concrete implementation cases of financial data warehouse transformation.
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