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Reseach Article

The Future of Hybrid Cloud Infrastructures in Data Engineering for Scalable Recommender Systems

by Deexith Reddy, Rohan Singh Rajput
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 31
Year of Publication: 2023
Authors: Deexith Reddy, Rohan Singh Rajput
10.5120/ijca2023923067

Deexith Reddy, Rohan Singh Rajput . The Future of Hybrid Cloud Infrastructures in Data Engineering for Scalable Recommender Systems. International Journal of Computer Applications. 185, 31 ( Aug 2023), 1-4. DOI=10.5120/ijca2023923067

@article{ 10.5120/ijca2023923067,
author = { Deexith Reddy, Rohan Singh Rajput },
title = { The Future of Hybrid Cloud Infrastructures in Data Engineering for Scalable Recommender Systems },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2023 },
volume = { 185 },
number = { 31 },
month = { Aug },
year = { 2023 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number31/32889-2023923067/ },
doi = { 10.5120/ijca2023923067 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:29:00.213806+05:30
%A Deexith Reddy
%A Rohan Singh Rajput
%T The Future of Hybrid Cloud Infrastructures in Data Engineering for Scalable Recommender Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 31
%P 1-4
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper explores the future of hybrid cloud infrastructures in data engineering for scalable recommender systems. It delves into the opportunities and challenges presented by hybrid clouds, focusing on their role in managing large volumes of data and complex computational tasks. The paper discusses the advantages of hybrid clouds, such as scalability, flexibility, and costeffectiveness, and their potential to enhance the efficiency and accuracy of recommender systems. It also addresses the challenges associated with implementing hybrid clouds, including data privacy, resource management, and compatibility issues. The paper concludes by highlighting the promising future of hybrid cloud infrastructures in driving significant advancements in data engineering and their potential impact on various sectors.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Big Data Cloud Computing Data Engineering Information Retrieval Scalability