A Study of Big Data in Cloud Computing

Over the last two decades, the size and amount of data has increased enormously, which has changed traditional methods of data management and introduced two new technological terms: big data and cloud computing. Addressing big data, characterized by massive volume, high velocity and variety, is quite challenging as it requires large computational infrastructure to store, process and analyze it. A reliable technique to carry out sophisticated and enormous data processing has emerged in the form of cloud computing because it eliminates the need to manage advanced hardware and software, and offers various services to users. Presently, big data and cloud computing are gaining significant interest among academia as well as in industrial research. In this review, we introduce various characteristics, applications and challenges of big data and cloud computing. We provide a brief overview of different platforms that are available to handle big data, including their critical analysis based on different parameters. We also discuss the correlation between big data and cloud computing. We focus on the life cycle of big data and its vital analysis applications in various fields and domains At the end, we present the open research issues that still need to be addressed and give some pointers to future scholars in the fields of big data and cloud computing.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-08-14
DOI
https://doi.org/10.24423/cames.2024.906
Primary Topic
Information Retrieval and Search Behavior
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study of Big Data in Cloud Computing

SHILAP Revista de lepidopterología
Information Retrieval and Search Behavior
article

A Study of Big Data in Cloud Computing

article en

Abstract

Over the last two decades, the size and amount of data has increased enormously, which has changed traditional methods of data management and introduced two new technological terms: big data and cloud computing. Addressing big data, characterized by massive volume, high velocity and variety, is quite challenging as it requires large computational infrastructure to store, process and analyze it. A reliable technique to carry out sophisticated and enormous data processing has emerged in the form of cloud computing because it eliminates the need to manage advanced hardware and software, and offers various services to users. Presently, big data and cloud computing are gaining significant interest among academia as well as in industrial research. In this review, we introduce various characteristics, applications and challenges of big data and cloud computing. We provide a brief overview of different platforms that are available to handle big data, including their critical analysis based on different parameters. We also discuss the correlation between big data and cloud computing. We focus on the life cycle of big data and its vital analysis applications in various fields and domains At the end, we present the open research issues that still need to be addressed and give some pointers to future scholars in the fields of big data and cloud computing.

SHILAP Revista de lepidopterología
Harcourt Butler Technical University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Information Retrieval and Search Behavior
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A Study of Big Data in Cloud Computing · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS