Abstract
The spread of omnipresent sensing technology brings with it an increasing number of innovative models. The smart mobility initiatives offer new opportunities for Intelligent Systems to maximize the utilization of real-time data that are streaming out of different sensory resources. In recent years, the convergence trend of Big Data, Cloud and IoT has received considerable attention in industry and academia. A huge amount of data is generated every day from information systems and modern digital technologies such as the Internet of things (IoT) and cloud computing. The analysis of these massive data requires a lot of effort at multiple levels to extract knowledge to facilitate decision-making. Big data analysis is therefore a topical area of research and development. The main objective of this survey is to propose Big Data, Cloud Computing, and IoT (BCI) Amalgamation Model. Additionally, this paper explores the big data characteristics, challenges, analysis techniques, and various tools associated with it. The recommendation of the suitable analysis techniques of big data that could reduce the time and increase efficiency is discussed.
Highlights
The spread of omnipresent sensing technology brings with it an increasing number of innovative models
There are several fundamental technologies that are closely related to big data, including cloud computing, the Internet of Things (IoT), and Hadoop
According to industrial data analyst Doug Laney [3], big data is articulated in the year 2000 as the following three Vs:
Summary
The spread of omnipresent sensing technology brings with it an increasing number of innovative models. A huge amount of data is generated every day from information systems and modern digital technologies such as the Internet of things (IoT) and cloud computing. The analysis of these massive data requires a lot of effort at multiple levels to extract knowledge to facilitate decision-making. There are potential challenges to the growth of big data applications To address these challenges, there are several fundamental technologies that are closely related to big data, including cloud computing, the Internet of Things (IoT), and Hadoop. Volume (Data in Rest): Agencies collect data from a variety of data sources, including business transactions, social media data, and machine to machine information or sensor information
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