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What is Big Data Analysis

Handbook of Research on Pattern Engineering System Development for Big Data Analytics
It is the process of examining large and varied data sets, mainly to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions from big data.
Published in Chapter:
An Application of Big Data Analytics in Road Transportation
Rajit Nair (Maulana Azad National Institute of Technology, India) and Amit Bhagat (Maulana Azad National Institute of Technology, India)
DOI: 10.4018/978-1-5225-3870-7.ch003
Abstract
Data is being captured in all domains of society and one of the important aspects is transportation. Large amounts of data have been collected, which are detailed, fine-grained, and of greater coverage and help us to allow traffic and transportation to be tracked to an extent that was not possible in the past. Existing big data analytics for transportation is already yielding useful applications in the areas of traffic routing, congestion management, and scheduling. This is just the origin of the applications of big data that will ultimately make the transportation network able to be managed properly and in an efficient way. It has been observed that so many individuals are not following the traffic rules properly, especially where there are high populations, so to monitor theses types of traffic violators, this chapter proposes a work that is mainly based on big data analytics. In this chapter, the authors trace the vehicle and the data that has been collected by different devices and analyze it using some of the big data analysis methods.
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Relating Industry 4.0 and the SME Internationalization Process: A Case Study
Big data is qualified by volume, variety, and speed (the 3Vs) and calls for new data processing and analysis techniques. High-capacity computers and communication networks make it possible to store substantial amounts of information quickly. The visualisation, analysis and sharing of data are the support for making decisions based on this valuable information with greater precision and confidence.
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Safe and Secure Home Automation Through IoT Applications: A Sensor and IC-Based Implementation for Digital Transformation
Extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.
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IoT Applications in Smart Home Security: Addressing Safety and Security Threats
Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
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Importance of Big Data
Big Data Analysis involves seven phases: Data acquirement and record keeping, Information extraction, clean and annotate, integrate, aggregate and represent, analyze and model, and interpret the data.
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A Brief Overview on Intelligent Computing-Based Biological Data and Image Analysis
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