@inproceedings{50f4a4a6566449b29056d4353a07ddd0,
title = "A Comprehensive Review on Big Data Challenges",
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.",
keywords = "Big data, analytics, data mining",
author = "Salil Bharany and Nasser Taleb and Sadiq, \{M. Tariq\} and Nayab Kanwal and Mohamed Abdelhakim and Ghazal, \{Taher M.\} and Manas Pradhan and Rehman, \{Ateeq Ur\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023 ; Conference date: 07-03-2023 Through 08-03-2023",
year = "2023",
doi = "10.1109/ICBATS57792.2023.10111375",
language = "English",
series = "2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023",
address = "United States",
}