In this paper, a three layered big data analytic architecture is designed to analyze the data generated during the construction of the barrier and detection of the intruder using camera sensors.
A later study [99] presented a general architecture of big data analytics which contains multi-source big data collecting, distributed big data storing, and intra/inter big data processing.
Accordingly, many heterogeneous components and devices across dispersed infrastructures and disparate networks need to interconnect as part of vast architectures enabling big data analytics, context-aware computing, intelligence functions, and service provisioning on a hard-to-imagine scale [19].
Data analytics It is, indeed, big data analytics (BDA).
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The study [93] was from the perspectives of data centric architecture and operational models to presented a big data architecture framework (BDAF) which includes: big data infrastructure, big data analytics, data structures and models, big data lifecycle management, and big data security.
Result-oriented Result-oriented Fisheretted albig data pipeline to show the workflow of big data analytics to extract the valuable knowledge from big data, which consists of the acquired data, choosing architecture, shaping data into architecture, coding/debugging, and reflecting works.
In this paper, we propose that two processes of "Big data analytics" and "Implementation of data modeling" should be collaborated with Model-driven architecture (MDA).
Therefore, we propose that two processes of "Big data analytics" and "Implementation of data modeling" should be collaborated with Model-driven architecture (MDA) [2] in order to repeat data modeling fast and find a new service shown in Fig. 1.
"Data analytics" begins with a brief introduction to the data analytics, and then "Big data analytics" will turn to the discussion of big data analytics as well as state-of-the-art data analytics algorithms and frameworks.
