Design and Construction of Financial Data Sharing Service Platform Under Big Data Technology
- DOI
- 10.2991/978-94-6463-304-7_57How to use a DOI?
- Keywords
- financial big data; Data platform; Microservices; Distributed computing
- Abstract
The rapid growth of big data application demand in the financial industry makes it imperative to build a safe and efficient financial data sharing service platform. The objective of this study is to design a data collection, processing and service platform for large-scale financial institutions. According to functional and non-functional requirements, microservice architecture and distributed computing model are adopted to design the overall architecture of the system. Then the platform system is implemented based on Hadoop ecological technology, and the performance is evaluated through multi-dimensional testing. The results show that the platform can effectively complete the collection, storage, calculation and service of massive heterogeneous financial data, with a high degree of scalability, security and availability. This study provides a reference scheme for the construction of big data platforms for financial institutions, and also lays a foundation for the intelligence of other industries. The next step will continue to optimize and promote business innovation.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xin Qiu PY - 2023 DA - 2023/12/04 TI - Design and Construction of Financial Data Sharing Service Platform Under Big Data Technology BT - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023) PB - Atlantis Press SP - 548 EP - 554 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-304-7_57 DO - 10.2991/978-94-6463-304-7_57 ID - Qiu2023 ER -