商业银行在智能数据流水线的探索与实践

Exploration and Practice of Intelligent Data Pipeline in Commercial Banks

随着互联网和移动技术的快速发展,商业银行的数据规模和数据种类不断增加,对数据的处理和分析要求也越来越高。为了满足以上需求,商业银行需要建立智能数据流水线来实现高效的数据处理和分析,从而更好地服务客户。探讨商业银行在智能数据流水线方面的实践和探索,包括基于TDH大数据平台建设的数据仓库、数据清洗和转换、机器学习模型的建立和应用等。通过对商业银行实践的总结和分析,可以为其他金融机构提供借鉴和参考,推动金融行业的数字化转型。

With the rapid development of the internet and mobile technology,commercial banks are facing an increasing volume and variety of data,which demands higher requirements for data processing and analysis.To meet these needs,commercial banks need to establish intelligent data pipelines to achieve efficient data processing and analysis,and better serve their customers.This paper will explore the practices and explorations of commercial banks in intelligent data pipelines,including the construction of data warehouses based on the TDH big data platform,data cleaning and transformation,and the establishment and application of machine learning models.Through summarizing and analyzing the practices of commercial banks,this paper can provide reference and guidance for other financial institutions,and promote the digital transformation of the financial industry.