Big data: From beginning to future

被引：218

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 50 条

[41] A big data framework for facilitating product innovation processes
Zhan, Yuanzhu
Tan, Kim Hua
Ji, Guojun
Chung, Leanne
Tseng, Minglang
BUSINESS PROCESS MANAGEMENT JOURNAL, 2017, 23 (03) : 518 - 536
[42] Security and Privacy Issues in IoT-Based Big Data Cloud Systems in a Digital Twin Scenario
Stergiou, Christos L.
Bompoli, Elisavet
Psannis, Konstantinos E.
APPLIED SCIENCES-BASEL, 2023, 13 (02):
[43] Manufacturing big data ecosystem: A systematic literature review
Cui, Yesheng
Kara, Sami
Chan, Ka C.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 62
[44] Predictive Maintenance in Healthcare Services with Big Data Technologies
Coban, Selin
Gokalp, Mert Onuralp
Gokalp, Ebru
Eren, P. Erhan
Kocyigit, Altan
2018 IEEE 11TH CONFERENCE ON SERVICE-ORIENTED COMPUTING AND APPLICATIONS (SOCA), 2018, : 93 - 98
[45] Big Data in Neonatal Health Care: Big Reach, Big Reward?
Bayne, Lynn E.
CRITICAL CARE NURSING CLINICS OF NORTH AMERICA, 2018, 30 (04) : 481 - +
[46] Big data and analytics
Misovic, Andrej
Duzik, Ondrej
Pleva, Michal
ERA OF SCIENCE DIPLOMACY: IMPLICATIONS FOR ECONOMICS, BUSINESS, MANAGEMENT AND RELATED DISCIPLINES (EDAMBA 2015), 2015, : 639 - 644
[47] A survey on scholarly data: From big data perspective
Khan, Samiya
Liu, Xiufeng
Shakil, Kashish A.
Alam, Mansaf
INFORMATION PROCESSING & MANAGEMENT, 2017, 53 (04) : 923 - 944
[48] Big Data: from Hype to Reality?
Benjamins, V. Richard
4TH INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, MINING AND SEMANTICS, 2014,
[49] Big data and internet of things (IoT) technologies’ influence on higher education: Current state and future prospects
Mkrttchian V.
Gamidullaeva L.
Finogeev A.
Chernyshenko S.
Chernyshenko V.
Amirov D.
Potapova I.
International Journal of Web-Based Learning and Teaching Technologies, 2021, 16 (05) : 137 - 157
[50] The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions
Jagatheesaperumal, Senthil Kumar
Rahouti, Mohamed
Ahmad, Kashif
Al-Fuqaha, Ala
Guizani, Mohsen
IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (15) : 12861 - 12885

← 1 2 3 4 5 →