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Campo DC | Valor | Idioma |
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dc.contributor.author | Santos, Maribel Yasmina | por |
dc.contributor.author | Sá, Jorge Oliveira e | por |
dc.contributor.author | Costa, Carlos | por |
dc.contributor.author | Galvão, João | por |
dc.contributor.author | Andrade, Carina | por |
dc.contributor.author | Martinho, Bruno | por |
dc.contributor.author | Lima, Francisca Vale | por |
dc.contributor.author | Costa, Eduarda | por |
dc.date.accessioned | 2017-05-17T08:52:10Z | - |
dc.date.issued | 2017-04 | - |
dc.identifier.citation | Santos, Maribel Yasmina, Jorge Oliveira e Sá, Carlos Costa, João Galvão, Carina Andrade, Bruno Martinho, Francica Vale Lima and Eduarda Costa, “A Big Data Analytics Architecture for Industry 4.0”, In: Rocha Á., Correia A., Adeli H., Reis L., Costanzo S. (Eds.), Recent Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 570, ISBN: 978-3-319-56537-8, Springer, Cham (DOI: 10.1007/978-3-319-56538-5_19). | por |
dc.identifier.isbn | 978-3-319-56537-8 | - |
dc.identifier.issn | 2194-5357 | - |
dc.identifier.uri | https://hdl.handle.net/1822/45638 | - |
dc.description.abstract | In an era in which people, devices, infrastructures and sensors can constantly communicate exchanging data and, also, generating new data that traces many of these exchanges, vast volumes of data is generated giving the context for the emergence of the Big Data concept. In particular, recent devel‐ opments in Information and Communications Technology (ICT) are pushing the fourth industrial revolution, Industry 4.0, being data generated by several sources like machine controllers, sensors, manufacturing systems, among others. Joining the volume and variety of data, arriving at high velocity, with Industry 4.0, makes the opportunity to enhance sustainable innovation in the Factories of the future. In this, the collection, integration, storage, processing and analysis of data is a key challenge, being Big Data systems needed to link all the entities and data needs of the factory. In this context, this paper proposes a Big Data Analytics architecture that includes layers dedicated to deal with all data needs, from collec‐ tion to analysis and distribution. | por |
dc.description.sponsorship | This work has been supported by COMPETE: POCI-01-0145-FEDER- 007043 and FCT (Fundação para a Ciência e Tecnologia) within the Project Scope: UID/CEC/ 00319/2013, and by Portugal Incentive System for Research and Technological Development, Project in co-promotion no. 002814/2015 (iFACTORY 2015-2018). | por |
dc.language.iso | eng | por |
dc.publisher | Springer Verlag | - |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.rights | restrictedAccess | por |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | por |
dc.subject | Industry 4.0 | por |
dc.subject | Big Data | por |
dc.subject | Big Data Architecture | por |
dc.subject | Big Data Analytics | por |
dc.title | A big data analytics architecture for industry 4.0 | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationStartPage | 175 | por |
oaire.citationEndPage | 184 | por |
oaire.citationVolume | 570 | por |
dc.identifier.doi | 10.1007/978-3-319-56538-5_19 | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Advances in Intelligent Systems and Computing | - |
sdum.conferencePublication | RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2 | por |
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