基于DMAIC模型的企业级跨领域集成数据盘点方法研究

Ran Ran, Jun Qi, Qiang Gao, Yubo Liu, Liang Bai, Xiaoqiang Liu
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引用次数: 0

摘要

传统的库存方法在对数据进行整理时,由于数据格式不规范,导致库存数据查询时间长。为了解决这一问题,本文提出了一种基于DMAIC模型的企业级跨域集成数据库存储方法。通过收集跨域集成数据进行过滤和集成,依次传输到中央数据库,建立数据仓库。采用DMAIC模型对采集数据中的核心数据进行识别,并将核心数据汇总到库存范围内。然后对相似度高的相关数据进行匹配,并制作标签和数据目录,为数据定位和查询提供支持。结果表明,与传统方法相比,库存数据查询时间缩短了0.57s。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on enterprise level cross domain integrated data inventory method based on DMAIC model
When traditional inventory methods sort out the data, the data format is not standardized, which leads to the long query time of inventory data. To solve this problem, this paper proposes an enterprise level cross domain integrated database storage method based on DMAIC model. Through the collection of cross domain integrated data for filtering and integration, the data are transferred to the central database in turn, and the data warehouse is established. The core data in the collected data is identified by using DMAIC model, and the core data is summarized into the inventory range. Then, the relevant data with high similarity are matched, and labels and data catalog are made to provide support for data positioning and query. The results show that compared with the traditional method, the query time of inventory data is shortened by 0.57s.
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