The Use of Cloud Computing in Big Data Analytics

Big data analytics refers to the process of analyzing extremely large and complicated data to identify useful patterns and insights. Conventional computer systems are not capable of managing this kind of data since they are unable to match speed, size, and costs needed. Cloud computing offers a remedy by providing elastic storage, strong processing, and sophisticated tools for analysis. With the help of cloud-based services and frameworks like Hadoop, Spark, and machine learning tools, organizations can handle both real-time and batch data more easily. Features like pay-as-you-go pricing, global access, and built-in security make the cloud suitable for many industries. Although there are issues like costs of data transfer, latency, and vendor dependence, cloud analytics is now crucial for companies to remain competitive and take informed decisions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17356616
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

The Use of Cloud Computing in Big Data Analytics

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

The Use of Cloud Computing in Big Data Analytics

article en

Abstract

Big data analytics refers to the process of analyzing extremely large and complicated data to identify useful patterns and insights. Conventional computer systems are not capable of managing this kind of data since they are unable to match speed, size, and costs needed. Cloud computing offers a remedy by providing elastic storage, strong processing, and sophisticated tools for analysis. With the help of cloud-based services and frameworks like Hadoop, Spark, and machine learning tools, organizations can handle both real-time and batch data more easily. Features like pay-as-you-go pricing, global access, and built-in security make the cloud suitable for many industries. Although there are issues like costs of data transfer, latency, and vendor dependence, cloud analytics is now crucial for companies to remain competitive and take informed decisions.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Cloud Computing and Resource Management
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