一种基于数据湖的数据处理方法、装置、电子设备及介质

CN117033522BActive Publication Date: 2026-07-17PING AN BANK CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
PING AN BANK CO LTD
Filing Date
2023-08-08
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the construction of data lakes is relatively traditional, relying on manual methods, which cannot meet the requirements for real-time data query and cannot retain more and more complete historical slice data, resulting in a lack of data support for data warehouse construction and data scenario exploration.

Method used

By using automated data processing methods, the target asset data and its entry conditions for entering the lake are determined, a data entry model is built, attribute information is configured on the asset management platform, and data that meets the conditions is automatically detected and stored in the data lake, realizing full and incremental entry into the lake.

Benefits of technology

Reduce labor costs, increase the retention period of historical data slices, improve the stability and quality of data analysis, avoid data problems, and achieve cost reduction and efficiency improvement.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请提供了一种基于数据湖的数据处理方法、装置、电子设备及介质,方法包括以下步骤:确定目标企业需要入湖的目标入湖资产数据,以及每种目标入湖资产数据的入湖条件和第一属性信息,搭建数据入湖模型;在目标企业的资产管理平台配置资产数据的第二属性信息;基于资产数据的第二属性信息以及目标入湖资产数据的第一属性信息,从资产管理平台的资产数据中确定出待入湖资产数据;当检测到资产管理平台的待入湖资产数据满足匹配的入湖条件时,将资产管理平台的待入湖资产数据存储至数据湖内,这样,实现资产数据自动入湖,可以有效的减少人工成本,增加历史数据切片保留周期,实现降本增效的结果。
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