P. Tanuška, L. Spendla, M. Kebísek, P. Važan, Lukas Hrcka
{"title":"Data integration and transformation proposal for big data analyses in automotive industry","authors":"P. Tanuška, L. Spendla, M. Kebísek, P. Važan, Lukas Hrcka","doi":"10.1109/INES.2017.8118535","DOIUrl":null,"url":null,"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.","PeriodicalId":344933,"journal":{"name":"2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2017.8118535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.