The Use of Relational and NoSQL Databases in Industrial Asset Management

Jaime Campos; Pankaj Sharma; Mikel Cañizo; Erkki Jantunen; David Baglee; Santiago Charramendieta; Angel Conde

doi:10.1007/978-3-030-48021-9_34

The Use of Relational and NoSQL Databases in Industrial Asset Management

Jaime Campos^*
, Pankaj Sharma
, Mikel Cañizo
, Erkki Jantunen
, David Baglee
, Santiago Charramendieta
, Angel Conde

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Scopus)

Abstract

The advancements concerning the development of ICT systems including Internet of Things (IoT), big data, cloud computing and NoSQL databases provide new opportunities and challenges for industrial asset management. The use of NoSQL databases has emerged due to the limitations of the relational databases, in particular, the inability to scale-up horizontally and to manage the data that is constantly generated by industry. The current work highlights the key aspects of both relational and NoSQL databases. The paper provides a review of the database technologies mentioned above. In this context, in order to demonstrate the effectiveness and adequacy of NoSQL databases, a real industrial case study is presented. The authors also discuss the different database technologies and their suitability in the domain of interest.

Original language	English
Title of host publication	Engineering Assets and Public Infrastructures in the Age of Digitalization - Proceedings of the 13th World Congress on Engineering Asset Management, WCEAM 2018
Subtitle of host publication	Proceedings of the 13th World Congress on Engineering Asset Management
Editors	Jayantha P. Liyanage, Joe Amadi-Echendu, Joseph Mathew
Publisher	Springer
Pages	302-308
ISBN (Electronic)	978-3-030-48021-9
ISBN (Print)	978-3-030-48020-2
DOIs	https://doi.org/10.1007/978-3-030-48021-9_34
Publication status	Published - 18 Aug 2020
MoE publication type	A4 Article in a conference publication
Event	13th World Congress on Engineering Asset Management, WCEAM 2018 - Stavanger, Norway Duration: 24 Sept 2018 → 26 Sept 2018

Conference

Conference	13th World Congress on Engineering Asset Management, WCEAM 2018
Abbreviated title	WCEAM 2018
Country/Territory	Norway
City	Stavanger
Period	24/09/18 → 26/09/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1007/978-3-030-48021-9_34

Cite this

Campos, J., Sharma, P., Cañizo, M., Jantunen, E., Baglee, D., Charramendieta, S., & Conde, A. (2020). The Use of Relational and NoSQL Databases in Industrial Asset Management. In J. P. Liyanage, J. Amadi-Echendu, & J. Mathew (Eds.), Engineering Assets and Public Infrastructures in the Age of Digitalization - Proceedings of the 13th World Congress on Engineering Asset Management, WCEAM 2018: Proceedings of the 13th World Congress on Engineering Asset Management (pp. 302-308). Springer. https://doi.org/10.1007/978-3-030-48021-9_34

Campos, Jaime ; Sharma, Pankaj ; Cañizo, Mikel et al. / The Use of Relational and NoSQL Databases in Industrial Asset Management. Engineering Assets and Public Infrastructures in the Age of Digitalization - Proceedings of the 13th World Congress on Engineering Asset Management, WCEAM 2018: Proceedings of the 13th World Congress on Engineering Asset Management. editor / Jayantha P. Liyanage ; Joe Amadi-Echendu ; Joseph Mathew. Springer, 2020. pp. 302-308

@inproceedings{149733d397fa4a15980a81d804a5284a,

title = "The Use of Relational and NoSQL Databases in Industrial Asset Management",

abstract = "The advancements concerning the development of ICT systems including Internet of Things (IoT), big data, cloud computing and NoSQL databases provide new opportunities and challenges for industrial asset management. The use of NoSQL databases has emerged due to the limitations of the relational databases, in particular, the inability to scale-up horizontally and to manage the data that is constantly generated by industry. The current work highlights the key aspects of both relational and NoSQL databases. The paper provides a review of the database technologies mentioned above. In this context, in order to demonstrate the effectiveness and adequacy of NoSQL databases, a real industrial case study is presented. The authors also discuss the different database technologies and their suitability in the domain of interest.",

author = "Jaime Campos and Pankaj Sharma and Mikel Ca{\~n}izo and Erkki Jantunen and David Baglee and Santiago Charramendieta and Angel Conde",

year = "2020",

month = aug,

day = "18",

doi = "10.1007/978-3-030-48021-9\_34",

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editor = "Liyanage, \{Jayantha P.\} and Joe Amadi-Echendu and Joseph Mathew",

booktitle = "Engineering Assets and Public Infrastructures in the Age of Digitalization - Proceedings of the 13th World Congress on Engineering Asset Management, WCEAM 2018",

publisher = "Springer",

address = "Germany",

note = "13th World Congress on Engineering Asset Management, WCEAM 2018, WCEAM 2018 ; Conference date: 24-09-2018 Through 26-09-2018",

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Campos, J, Sharma, P, Cañizo, M, Jantunen, E, Baglee, D, Charramendieta, S & Conde, A 2020, The Use of Relational and NoSQL Databases in Industrial Asset Management. in JP Liyanage, J Amadi-Echendu & J Mathew (eds), Engineering Assets and Public Infrastructures in the Age of Digitalization - Proceedings of the 13th World Congress on Engineering Asset Management, WCEAM 2018: Proceedings of the 13th World Congress on Engineering Asset Management. Springer, pp. 302-308, 13th World Congress on Engineering Asset Management, WCEAM 2018, Stavanger, Norway, 24/09/18. https://doi.org/10.1007/978-3-030-48021-9_34

The Use of Relational and NoSQL Databases in Industrial Asset Management. / Campos, Jaime; Sharma, Pankaj; Cañizo, Mikel et al.
Engineering Assets and Public Infrastructures in the Age of Digitalization - Proceedings of the 13th World Congress on Engineering Asset Management, WCEAM 2018: Proceedings of the 13th World Congress on Engineering Asset Management. ed. / Jayantha P. Liyanage; Joe Amadi-Echendu; Joseph Mathew. Springer, 2020. p. 302-308.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - The Use of Relational and NoSQL Databases in Industrial Asset Management

AU - Campos, Jaime

AU - Sharma, Pankaj

AU - Cañizo, Mikel

AU - Jantunen, Erkki

AU - Baglee, David

AU - Charramendieta, Santiago

AU - Conde, Angel

PY - 2020/8/18

Y1 - 2020/8/18

N2 - The advancements concerning the development of ICT systems including Internet of Things (IoT), big data, cloud computing and NoSQL databases provide new opportunities and challenges for industrial asset management. The use of NoSQL databases has emerged due to the limitations of the relational databases, in particular, the inability to scale-up horizontally and to manage the data that is constantly generated by industry. The current work highlights the key aspects of both relational and NoSQL databases. The paper provides a review of the database technologies mentioned above. In this context, in order to demonstrate the effectiveness and adequacy of NoSQL databases, a real industrial case study is presented. The authors also discuss the different database technologies and their suitability in the domain of interest.

AB - The advancements concerning the development of ICT systems including Internet of Things (IoT), big data, cloud computing and NoSQL databases provide new opportunities and challenges for industrial asset management. The use of NoSQL databases has emerged due to the limitations of the relational databases, in particular, the inability to scale-up horizontally and to manage the data that is constantly generated by industry. The current work highlights the key aspects of both relational and NoSQL databases. The paper provides a review of the database technologies mentioned above. In this context, in order to demonstrate the effectiveness and adequacy of NoSQL databases, a real industrial case study is presented. The authors also discuss the different database technologies and their suitability in the domain of interest.

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M3 - Conference article in proceedings

SN - 978-3-030-48020-2

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EP - 308

BT - Engineering Assets and Public Infrastructures in the Age of Digitalization - Proceedings of the 13th World Congress on Engineering Asset Management, WCEAM 2018

A2 - Liyanage, Jayantha P.

A2 - Amadi-Echendu, Joe

A2 - Mathew, Joseph

PB - Springer

T2 - 13th World Congress on Engineering Asset Management, WCEAM 2018

Y2 - 24 September 2018 through 26 September 2018

ER -

Campos J, Sharma P, Cañizo M, Jantunen E, Baglee D, Charramendieta S et al. The Use of Relational and NoSQL Databases in Industrial Asset Management. In Liyanage JP, Amadi-Echendu J, Mathew J, editors, Engineering Assets and Public Infrastructures in the Age of Digitalization - Proceedings of the 13th World Congress on Engineering Asset Management, WCEAM 2018: Proceedings of the 13th World Congress on Engineering Asset Management. Springer. 2020. p. 302-308 doi: 10.1007/978-3-030-48021-9_34

The Use of Relational and NoSQL Databases in Industrial Asset Management

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UN SDGs

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