Big data: From beginning to future

被引：232

作者：

Yaqoob, Ibrar ^{[1
]}

Hashem, Ibrahim Abaker Targio ^{[1
]}

Gani, Abdullah ^{[1
]}

Mokhtar, Salimah ^{[1
]}

Ahmed, Ejaz ^{[1
]}

Anuar, Nor Badrul ^{[1
]}

Vasilakos, Athanasios V. ^{[2
]}

机构：

[1] Univ Malaya, Fac Comp Sci & Informat Technol, Ctr Mobile Cloud Comp Res C4MCCR, Kuala Lumpur 50603, Malaysia

[2] Lulea Univ Technol, Lulea, Sweden

来源：

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT | 2016年 / 36卷 / 06期

关键词：

Big data; Parallel and distributed computing; Cloud computing; Internet of things; Social media; Analytics; TAXONOMY; ANALYTICS; INTERNET; DIMENSIONALITY; VISUALIZATION; MANAGEMENT; ALGORITHM; NETWORKS;

D O I：

10.1016/j.ijinfomgt.2016.07.009

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Big data is a potential research area receiving considerable attention from academia and IT communities. In the digital world, the amounts of data generated and stored have expanded within a short period of time. Consequently, this fast growing rate of data has created many challenges. In this paper, we use structuralism and functionalism paradigms to analyze the origins of big data applications and its current trends. This paper presents a comprehensive discussion on state-of-the-art big data technologies based on batch and stream data processing. Moreover, strengths and weaknesses of these technologies are analyzed. This study also discusses big data analytics techniques, processing methods, some reported case studies from different vendors, several open research challenges, and the opportunities brought about by big data. The similarities and differences of these techniques and technologies based on important parameters are also investigated. Emerging technologies are recommended as a solution for big data problems. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：1231 / 1247

页数：17

共 150 条

[1] Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges [J].