Abstract
At present, the design of big data platforms for many domestic banks is still insufficient. This article builds a Hadoop-based bank big data platform based on the big data platform construction experience of a large state-owned commercial bank. By introducing cutting-edge mainstream big data open-source tools, the overall architecture of the big data platform of commercial banks is built. At the same time, this article discusses critical technical solutions such as storage engine, resource management, calculation engine, analysis engine, interactive front end, and data management, task management, and user management to build a bank’s big data platform. This article hopes to provide a reference for other banks to make big data platforms.
Highlights
The new round of technology represented by mobile Internet, cloud computing, big data, and artificial intelligence is rapidly changing traditional production and management methods
They have a widespread impact on the business model and even the intermediary function of commercial banks
Commercial banks need to use cloud computing and big data as the core technology to upgrade the single platform in the past into a diverse ecosystem[1]
Summary
The new round of technology represented by mobile Internet, cloud computing, big data, and artificial intelligence is rapidly changing traditional production and management methods. They have a widespread impact on the business model and even the intermediary function of commercial banks. The traditional data analysis platform based on the relational data warehouses cannot meet the needs of current business development. Commercial banks need to use cloud computing and big data as the core technology to upgrade the single platform in the past into a diverse ecosystem[1]. It can meet the basic requirements for data analysis in the original format
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