Empirical Analysis of Recent Advances, Characteristics and Challenges of Big Data

Khattak, Burhanullah and Khan, Aurangzeb and Khan, Khairullah and Khan, Wahab and Kamran, Muhammad and Fahad, Muhammad (2019) Empirical Analysis of Recent Advances, Characteristics and Challenges of Big Data. EAI Endorsed Transactions on Scalable Information Systems, 6 (23): e3. ISSN 2032-9407

[img]
Preview
Text
eai.13-7-2018.159621.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (1MB) | Preview

Abstract

Here in this study, we provide an empirical analysis of recent advances, characteristic and challenges of big data. Initially, we acquaint the readers with the general background, history, and characteristics of big data including volume, velocity, value and variety etc. The scope of applications for big data including political services and government monitoring, enterprise management, scientific research, public utilities, public administration and internet of things are illustrated. A detailed analysis is presented regarding opportunities and challenges faced by the public and private sectors during analysis phase of big data management such as storing, visualizing, capturing and so on. In addition, we investigated and reported a detailed empirical analysis of the most recent management tools like Hadoop and MapReduce, along with their different components, usage, and limitation. Finally, open issues and future directions for this new and dynamic area of research are provided. The primary objective of this empirical analysis is to present a broad-spectrum perspective of this emerging research area with the goal to present big data related concepts in a coherent manner to the beginners.

Item Type: Article
Uncontrolled Keywords: Hadoop, velocity, big data, variety, volume
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 08 Oct 2020 13:54
Last Modified: 08 Oct 2020 13:54
URI: https://eprints.eudl.eu/id/eprint/691

Actions (login required)

View Item View Item