Learning data engineering: Creating IoT apps using the node-RED and the RPI technologies

Chaczko, Z; Braun, R

Learning data engineering: Creating IoT apps using the node-RED and the RPI technologies

Chaczko, Z

Braun, R

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Publication Type:: Conference Proceeding
Citation:: 2017 16th International Conference on Information Technology Based Higher Education and Training, ITHET 2017, 2017
Issue Date:: 2017-10-13

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Field	Value	Language
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769	en_US
dc.date.available	2020-05-25T19:20:04Z
dc.date.issued	2017-10-13	en_US
dc.identifier.citation	2017 16th International Conference on Information Technology Based Higher Education and Training, ITHET 2017, 2017	en_US
dc.identifier.isbn	9781538639689	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126073
dc.description.abstract	© 2017 IEEE. This paper demonstrates the suitability and the practicality of using the advanced open source tools such as the Raspberry Pi and the Node-RED for teaching and learning in the Internet of Things (IOT) subject within a newly created major of Data Engineering in the Faculty of Engineering and IT at University of Technology, Sydney. Understanding and practicing of the Internet of Things largely depend on the high availability of tools, their low cost, and ease of use that can accelerate learning processes. This paper demonstrates relatively uncomplicated practical lab exercises involving the Raspberry Pi hardware, firmware and the Node-RED programming environment that students can execute to stimulate their learning, understanding of the Internet of Things technology and acquire fundamental data engineering skills.	en_US
dc.relation.ispartof	2017 16th International Conference on Information Technology Based Higher Education and Training, ITHET 2017	en_US
dc.relation.isbasedon	10.1109/ITHET.2017.8067827	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Learning data engineering: Creating IoT apps using the node-RED and the RPI technologies	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. This paper demonstrates the suitability and the practicality of using the advanced open source tools such as the Raspberry Pi and the Node-RED for teaching and learning in the Internet of Things (IOT) subject within a newly created major of Data Engineering in the Faculty of Engineering and IT at University of Technology, Sydney. Understanding and practicing of the Internet of Things largely depend on the high availability of tools, their low cost, and ease of use that can accelerate learning processes. This paper demonstrates relatively uncomplicated practical lab exercises involving the Raspberry Pi hardware, firmware and the Node-RED programming environment that students can execute to stimulate their learning, understanding of the Internet of Things technology and acquire fundamental data engineering skills.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/126073