CFP last date
20 January 2025
Reseach Article

Analytical Study of Data Analytics and its Challenges

by Neeta Yadav, Neelendra Badal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 44
Year of Publication: 2024
Authors: Neeta Yadav, Neelendra Badal
10.5120/ijca2024924081

Neeta Yadav, Neelendra Badal . Analytical Study of Data Analytics and its Challenges. International Journal of Computer Applications. 186, 44 ( Oct 2024), 43-46. DOI=10.5120/ijca2024924081

@article{ 10.5120/ijca2024924081,
author = { Neeta Yadav, Neelendra Badal },
title = { Analytical Study of Data Analytics and its Challenges },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2024 },
volume = { 186 },
number = { 44 },
month = { Oct },
year = { 2024 },
issn = { 0975-8887 },
pages = { 43-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number44/analytical-study-of-data-analytics-and-its-challenges/ },
doi = { 10.5120/ijca2024924081 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-10-26T00:55:35.944077+05:30
%A Neeta Yadav
%A Neelendra Badal
%T Analytical Study of Data Analytics and its Challenges
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 44
%P 43-46
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the world of information and digitalization data are seen everywhere. Everyday there is a new addition of data in the database. Emerging technologies are directly and indirectly responsible for adding momentum to the continuously multiplying of data in the world. It is also of different variety, volume, and velocity so it creates lots of problems in storage, accessing, preprocessing as well as in extraction procedures. A gigantic quantity of data has become available on hand to decision-makers. So, it’s also creating ambiguity in handling the large scale of data which is different in volume, variety, size, etc. Due to its gigantic growth, solutions should be studied for analysis, storage, and management. Either the researcher will have to develop a model or algorithm or follow some hybrid methodology for its efficient handling. Data scientists face many problems when dealing with big data or large-scale data. None of the tools are very efficient, and one of the biggest problems is storage. The main focus of this paper is to discuss the challenges of data analytics from different perspectives and analyze different methods and tools for handling large volumes of data effectively.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Analytics Big Data Structured Data Unstructured data and data mining.