IDEAS home Printed from https://ideas.repec.org/a/aif/journl/v5y2021i2p64-75.html
   My bibliography  Save this article

Big Data Analysis for Data Visualization: A Review

Author

Listed:
  • Zhwan M. Khalid

    (Information System Engineering Dept., Erbil polytechnic University, KRG-Iraq)

  • Subhi R.M Zeebaree

    (Duhok Polytechnic University, KRG-Iraq)

Abstract

One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to data integration and the process of big data problems. Both of them are essential and difficult to visualize and interpret large-scale databases since they require considerable data processing and storage capacity. The data age, where data grows exponentially, is a significant struggle to extract data in a manner that the human mind can grasp. This paper reviews and provides data visualization and the Heterogeneous Distributed Storage description and their challenges using different methods through some previous researches. Besides, the results of reviewed research works are compared, and the fundamental shift in the world of large data visualization of virtual reality is discussed.

Suggested Citation

  • Zhwan M. Khalid & Subhi R.M Zeebaree, 2021. "Big Data Analysis for Data Visualization: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 64-75.
    • Handle: RePEc:aif:journl:v:5:y:2021:i:2:p:64-75
    as

    Download full text from publisher

    File URL: https://ijsab.com/wp-content/uploads/671.pdf
    Download Restriction: no
    File URL: https://ijsab.com/volume-5-issue-2/3545
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kurdistan Wns HamaAli & Subhi R. M. Zeebaree, 2021. "Resources Allocation for Distributed Systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 76-88.
    2. Kavi B. Obaid & Subhi R. M. Zeebaree & Omar M. Ahmed, 2020. "Deep Learning Models Based on Image Classification: A Review," International Journal of Science and Business, IJSAB International, vol. 4(11), pages 75-81.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rahul Basole & Elliot Bendoly & Aravind Chandrasekaran & Kevin Linderman, 2022. "Visualization in Operations Management Research," INFORMS Joural on Data Science, INFORMS, vol. 1(2), pages 172-187, October.
    2. Maksymilian Mądziel & Tiziana Campisi, 2023. "Energy Consumption of Electric Vehicles: Analysis of Selected Parameters Based on Created Database," Energies, MDPI, vol. 16(3), pages 1-18, February.
    3. See, Justin & Cuaton, Ginbert Permejo & Placino, Pryor & Vunibola, Suliasi & Thi, Huong Do & Dombroski, Kelly & McKinnon, Katharine, 2024. "From absences to emergences: Foregrounding traditional and Indigenous climate change adaptation knowledges and practices from Fiji, Vietnam and the Philippines," World Development, Elsevier, vol. 176(C).
    4. Hindreen Rashid Abdulqadir & Nawzat Sadiq Ahmed, 2021. "Fog Computing Analysis Based on Internet of Thing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 137-147.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohammed J. Sadeeq & Subhi R. M. Zeebaree, 2021. "Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 148-158.
    2. Chnar Mustafa Mohammed & Subhi R.M Zeebaree, 2021. "Sufficient Comparison Among Cloud Computing Services: IaaS, PaaS, and SaaS: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 17-30.
    3. Ibrahim Shamal Abdulkhaleq & Subhi R. M. Zeebaree, 2021. "State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 126-136.
    4. Zhala Jameel Hamad & Subhi R. M. Zeebaree, 2021. "Recourses Utilization in a Distributed System: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 42-53.
    5. Xupeng Wei & Achilleas Anastasopoulos, 2021. "Mechanism Design for Demand Management in Energy Communities," Games, MDPI, vol. 12(3), pages 1-34, July.
    6. Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree, 2021. "Resource Allocation in Fog Computing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 54-63.
    7. Damm, Yannic & Cisneros, Elías & Börner, Jan, 2024. "Beyond Deforestation Reductions: Public Disclosure, Land-Use Change and Commodity Sourcing," World Development, Elsevier, vol. 175(C).
    8. Kazheen Ismael Taher & Adnan Mohsin Abdulazeez, 2021. "Deep Learning Convolutional Neural Network for Speech Recognition: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 1-14.
    9. Baydaa Hassan Husain & Subhi R. M. Zeebaree, 2021. "Improvised Distributions framework of Hadoop: A review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 31-41.
    10. Glena Aziz Qadir & Subhi R. M Zeebaree, 2021. "Evaluation of QoS in Distributed Systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 89-101.
    11. Rezgar Hasan Saeed & Hivi Ismat Dino & Lailan M. Haji & Daroon Mudhafer Hamed & Hanan M. Shukur & Omid H. Jader, 2021. "Impact of IoT Frameworks on Healthcare and Medical Systems Performance," International Journal of Science and Business, IJSAB International, vol. 5(1), pages 115-126.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aif:journl:v:5:y:2021:i:2:p:64-75. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Farjana Rahman (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.