Data integration and transformation proposal for big data analyses in automotive industry

P. Tanuška, L. Spendla, M. Kebísek, P. Važan, Lukas Hrcka
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引用次数: 1

Abstract

In our paper, we have focused on data integration and transformation process in the automotive industry, with emphasis on production data collected from the shop floor. One of the main issues addressed, is that the data are not stored in a central data storage, but in individual devices and systems, utilising different data formats. Our paper briefly describes the main tasks, required to collect production data into the big data storage and transform them into a unified data structure. We have also provided results of the initial analyses that were performed on the integrated and transformed data set.
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针对汽车行业大数据分析的数据集成与转化方案
在我们的论文中,我们专注于汽车行业的数据集成和转换过程,重点是从车间收集的生产数据。解决的主要问题之一是,数据不是存储在中央数据存储中,而是存储在使用不同数据格式的单个设备和系统中。本文简要介绍了将生产数据收集到大数据存储中,并将其转化为统一的数据结构所需要完成的主要任务。我们还提供了对集成和转换后的数据集执行的初始分析的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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