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

• Main Authors: Burhanullah Khattak, Aurangzeb Khan, Khairullah Khan, Wahab Khan, Muhammad Kamran, Muhammad Fahad
• Format: Article
• Language: English
• Published: European Alliance for Innovation (EAI) 2019-10-01
• Series: EAI Endorsed Transactions on Scalable Information Systems
• Subjects: hadoop; velocity; big data; variety; volume
• Online Access: https://eudl.eu/pdf/10.4108/eai.13-7-2018.159621

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, enterprisemanagement, 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.