A Comprehensive Review on Big Data Challenges

Salil Bharany, Nasser Taleb, M. Tariq Sadiq, Nayab Kanwal, Mohamed Abdelhakim, Taher M. Ghazal, Manas Pradhan, Ateeq Ur Rehman

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

Abstract

Increased hardware capability has allowed many businesses to store massive amounts of data in the previous few years. Streams of data may go on forever, so they are used in so many different applications. Analyzing and querying these streams is challenging for a stream of dynamic information. The term "big data"refers to a collection of methods and tools that must be combined in novel ways to unearth the vast amounts of previously unseen information buried within vast, diverse, and intricate databases. There are several ways to obtain, organize and analyze data in the big data world. In order to deal with streaming data, efficient data mining procedures must be in place. In this article, we examine a variety of Big Data-related concerns and challenges. This paper introduces the features, and challenges of managing big data.

Original languageEnglish
Title of host publication2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350335644
DOIs
Publication statusPublished - 15 May 2023
Event2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023 - Dubai, United Arab Emirates
Duration: 7 Mar 20238 Mar 2023

Publication series

Name2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

Conference

Conference2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
Country/TerritoryUnited Arab Emirates
CityDubai
Period7/03/238/03/23

Bibliographical note

Funding Information:
This research was supported by the National Key R&D Program of China (grant 2016YFA0500901), the National Science Fund for Distinguished Young Scholars (81925015), and the National Natural Science Foundation of China (grants 91649202). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Funding Information:
The following grant information was disclosed by the authors: National Key R&D Program of China: 2016YFA0500901.

Publisher Copyright:
© 2023 IEEE.

Keywords

  • analytics
  • Big data
  • data mining

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