Data Networking for Industrial Data Analysis Based on a Data Backbone System

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Andreas Eiden (1), Thomas Eickhoff (1), Jens Christian G
Series: DESIGN
Institution: 1: Technische Universit
Section: Design Information and Knowledge
Page(s): 693-702
DOI number:
ISSN: 2732-527X (Online)


Industrial Data Analytics needs access to huge amounts of data, which is scattered across different IT systems. As part of an integrated reference kit for Industrial Data Analytics, there is a need for a data backend system that provides access to data. This system needs to have solutions for the extraction of data, the management of data and an analysis pipeline for those data. This paper presents an approach for this data backend system.

Keywords: data mining, big data analysis, product lifecycle management (PLM), data aggregation, data integration

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