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This study also explains a big data architecture and illustrates the use of big data technologies in testing theoretical framework.
This study employed systematic mapping to capture the current state of the research relating to big data technologies in manufacturing.
The purpose of this research is to classify current research, and identify pertinent themes and trends in the literature, which relate directly to big data technologies in manufacturing.
At the time of writing, this is the only research effort focusing on the systematic mapping of big data technologies in manufacturing.
In this study, we use the formal research methodology of systematic mapping to provide a breadth-first review of big data technologies in manufacturing.
The focus on big data technologies in manufacturing environments is a relatively new interdisciplinary research area which incorporates automation, engineering, information technology and data analytics, to name a few.
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However, the Irish government's new "knowledge box" initiative, aimed at attracting "big data" technology, in return for a lower corporate tax rate, could set the rate as low as 6.5%.
In this paper, the application of big data technology in fast image recognition of transmission towers is researched.
However, past research has often used Big Data technology in estimating energy consumption of a single building rather than the urban scale, due to several challenges such as data collection and feature engineering.
In this paper, the application of big data technology in fast image recognition of transmission towers which are obtained using fixed-wing unmanned aerial vehicle (UAV) by large range tilt photography are researched.
The purpose of this article is to examine how complex data infrastructure projects within the HE sector are establishing a new hidden architecture of technologies, experts, standards, values and practices that will permit new big data technologies to be plugged-in to institutions and processes, in ways that may significantly transform HE itself.
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