Title
A Big Data Analytics Architecture for Industry 4.0.
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 developments 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 collection to analysis and distribution.
Year
DOI
Venue
2017
10.1007/978-3-319-56538-5_19
RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2
Keywords
Field
DocType
Industry 4.0,Big Data,Big Data Architecture,Big Data Analytics
Industrial Revolution,Data science,World Wide Web,Architecture,Data analysis,Factory,Manufacturing systems,Computer science,Information and Communications Technology,Big data,Industry 4.0
Conference
Volume
ISSN
Citations 
570
2194-5357
4
PageRank 
References 
Authors
0.64
4
8