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

3Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Khattak, B., Khan, A., Khan, K., Khan, W., Kamran, M., & Fahad, M. (2019). Empirical Analysis of Recent Advances, Characteristics and Challenges of Big Data. EAI Endorsed Transactions on Scalable Information Systems, 6(23), 1–18. https://doi.org/10.4108/eai.13-7-2018.159621

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free