The 51 V's Of Big Data Survey, Technologies, Characteristics, Opportunities, Issues and Challenges

被引:21
|
作者
Khan, Nawsher [1 ]
Naim, Arshi [1 ]
Hussain, Mohammad Rashid [1 ]
Naveed, Quadri Noorulhasan [1 ]
Ahmad, Naim [1 ]
Qamar, Shamimul [1 ]
机构
[1] King Khalid Univ, Coll Comp Sci, Abha, Saudi Arabia
来源
INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS (COINS) | 2019年
关键词
Big Data; data generation; data characteristics; data storage;
D O I
10.1145/3312614.3312623
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Currently Big Data is the biggest buzzword, and definitely, we believe that Big Data is changing the world. Some researchers say Big Data will be even bigger buzzword than the Internet. With fast-growing computing resources, information and knowledge a new digital globe has emerged. Information is being created and stored at a fast rate and is being accessed by a vast range of applications through scientific computing, commercial workloads, and social media. In 2018, over 28 billion devices globally, are connected to the internet. In 2020, more than 50 billion smart appliances will be connected worldwide and internet traffic flow will be 92 times greater than it was in 2005. The usage of such a massive number of connected devices not only increase the data volume but also the velocity of data addition with speed of light on fiber optic and various wireless networks. This fast generation of enormous data creates numerous threats and challenges. There exist various approaches that are addressing issues and challenges of Big Data with the theory of Vs such as 3 V's, 5 V's, 7 V's etc. The objective of this work is to explore and investigate the status of the current Big Data domain. Further, a comprehensive overview of Big Data, its characteristics, opportunities, issues, and challenges have been explored and described with the help of 51 V's. The outcome of this research will help in understanding the Big Data in a systematic way.
引用
收藏
页码:19 / 24
页数:6
相关论文
共 50 条
  • [21] A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools
    Acharjya, D. P.
    Ahmed, Kauser P.
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (02) : 511 - 518
  • [22] Identifying Big Data's Opportunities, Challenges, and Implications in Finance
    Sun, Huidong
    Rabbani, Mustafa Raza
    Sial, Muhammad Safdar
    Yu, Siming
    Filipe, Jose Antonio
    Cherian, Jacob
    MATHEMATICS, 2020, 8 (10) : 1 - 19
  • [23] Big Data in healthcare: Challenges and Opportunities
    Asri, Hiba
    Mousannif, Hajar
    Al Moatassime, Hassan
    Noel, Thomas
    2015 INTERNATIONAL CONFERENCE ON CLOUD TECHNOLOGIES AND APPLICATIONS (CLOUDTECH 15), 2015, : 56 - 62
  • [24] Big Data in Healthcare: Opportunities and Challenges
    Craven, Mark
    Page, C. David
    BIG DATA, 2015, 3 (04) : 209 - 210
  • [25] Geospatial Big Data: Challenges and Opportunities
    Lee, Jae-Gil
    Kang, Minseo
    BIG DATA RESEARCH, 2015, 2 (02) : 74 - 81
  • [26] The Promise of Big Data Opportunities and Challenges
    Krumholz, Harlan M.
    CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, 2016, 9 (06): : 616 - 617
  • [27] Big Data Challenges and Opportunities in Agriculture
    Gopal, Maya P. S.
    Chintala, Bhargavi Renta
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL INFORMATION SYSTEMS, 2020, 11 (01) : 48 - 66
  • [28] Opportunities and challenges for big data ornithology
    La Sorte, Frank A.
    Lepczyk, Christopher A.
    Burnett, Jessica L.
    Hurlbert, Allen H.
    Tingley, Morgan W.
    Zuckerberg, Benjamin
    CONDOR, 2018, 120 (02): : 414 - 426
  • [29] Big data: Opportunities, Challenges and solutions
    Gorodetsky, Vladimir
    Communications in Computer and Information Science, 2014, 469 : 3 - 22
  • [30] Big data in Pneumology: Opportunities and Challenges
    Wahab, Lora
    Fisser, Christoph
    ZEITSCHRIFT FUR PNEUMOLOGIE, 2025, 22 (01): : 39 - 42