Exploring the Synergy of Big Data and Cloud Computing

The fusion of big data and cloud computing gives a multitude of benefits, thus transforming the landscape of data storage, processing, and analysis. The convergence offers scala-bility, cost-effectiveness, flexibility, collaboration, and universal accessibility. Cloud platforms helps in seamless resource scaling, eliminating the need of heavy infrastructure investments, while pay-as-you-go models reduce upfront expenses. Flexibility in storage and processing capabilities allows tailored adjustments to organizational needs, stimulating collaboration and enabling data sharing among diverse users. Universal accessibility enables ubiquitous big data analytics from anywhere with an internet connection. However, amongst these advantages, several chal-lenges emerge. Data security and privacy concerns appears to be large, necessitating robust security measures and compliance standards. Additional challenges include latency concerns, the expense of long-term storage, and sophisticated analytics ac-tivities in the cloud. Efficient data management strategies are imperative to address these challenges effectively. This necessitate the importance of proactive measures in ensuring the safe and effective utilization of big data within cloud environments. By addressing these challenges, organizations can fully leverage the potential of the convergence of big data and cloud computing to direct innovation and enhance decision-making capabilities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-24
DOI
https://doi.org/10.5281/zenodo.14553142
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Synergy of Big Data and Cloud Computing

Zenodo (CERN European Organization for Nuclear Research)
Cloud Computing and Resource Management
article

Exploring the Synergy of Big Data and Cloud Computing

article en

Abstract

The fusion of big data and cloud computing gives a multitude of benefits, thus transforming the landscape of data storage, processing, and analysis. The convergence offers scala-bility, cost-effectiveness, flexibility, collaboration, and universal accessibility. Cloud platforms helps in seamless resource scaling, eliminating the need of heavy infrastructure investments, while pay-as-you-go models reduce upfront expenses. Flexibility in storage and processing capabilities allows tailored adjustments to organizational needs, stimulating collaboration and enabling data sharing among diverse users. Universal accessibility enables ubiquitous big data analytics from anywhere with an internet connection. However, amongst these advantages, several chal-lenges emerge. Data security and privacy concerns appears to be large, necessitating robust security measures and compliance standards. Additional challenges include latency concerns, the expense of long-term storage, and sophisticated analytics ac-tivities in the cloud. Efficient data management strategies are imperative to address these challenges effectively. This necessitate the importance of proactive measures in ensuring the safe and effective utilization of big data within cloud environments. By addressing these challenges, organizations can fully leverage the potential of the convergence of big data and cloud computing to direct innovation and enhance decision-making capabilities.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Cloud Computing and Resource Management
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