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Authors: Andreas Kirmse 1 ; Felix Kuschicke 2 and Max Hoffmann 1

Affiliations: 1 Institute of Information Management in Mechanical Engineering (IMA), RWTH Aachen University, Aachen and Germany ; 2 Konica Minolta, Darmstadt and Germany

ISBN: 978-989-758-369-8

Keyword(s): Industrial Big Data, Industrial Data Lakes, Information Integration, Data Acquisition, Cyber-physical Systems, Industry 4.0, Smart Manufacturing, Information Systems, RDBMS, OPC UA, MQTT.

Abstract: Technologies related to the Big Data term are increasingly focusing the industrial sector. The underlying concepts are suited to introduce disruptive changes in the various ways information is generated, integrated and used for optimization in modern production plants. Nevertheless, the adoption of these web-inspired technologies in an industrial environment is connected to multiple challenges, as the manufacturing industry has to cope with specific requirements and prerequisites that differ from common Big Data applications. Existing architectural approaches appear to be either partially incomplete or only address individual aspects of the challenges arising from industrial big data. This paper has the goal to thoroughly review existing approaches for industrial big data in manufacturing and to derive a consolidated architecture that is able to deal with all major problems of the industrial big data integration and deployment chain. Appropriate technologies to realize the presented a pproach are accordingly pointed out. (More)

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Paper citation in several formats:
Kirmse, A.; Kuschicke, F. and Hoffmann, M. (2019). Industrial Big Data: From Data to Information to Actions.In Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-369-8, pages 137-146. DOI: 10.5220/0007734501370146

@conference{iotbds19,
author={Andreas Kirmse. and Felix Kuschicke. and Max Hoffmann.},
title={Industrial Big Data: From Data to Information to Actions},
booktitle={Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2019},
pages={137-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007734501370146},
isbn={978-989-758-369-8},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Industrial Big Data: From Data to Information to Actions
SN - 978-989-758-369-8
AU - Kirmse, A.
AU - Kuschicke, F.
AU - Hoffmann, M.
PY - 2019
SP - 137
EP - 146
DO - 10.5220/0007734501370146

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