BIG DATA PROCESSING TECHNOLOGIES: A COMPARATIVE ANALYSIS OF HADOOP AND SPARK

Processing large-scale data is one of the critical challenges in modern technology. This article presents a comparative analysis of Apache Hadoop and Apache Spark technologies. The analysis is based on criteria such as working principles, speed, convenience, error handling, and resource requirements.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-28
DOI
https://doi.org/10.5281/zenodo.15764517
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

BIG DATA PROCESSING TECHNOLOGIES: A COMPARATIVE ANALYSIS OF HADOOP AND SPARK

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

BIG DATA PROCESSING TECHNOLOGIES: A COMPARATIVE ANALYSIS OF HADOOP AND SPARK

article en

Abstract

Processing large-scale data is one of the critical challenges in modern technology. This article presents a comparative analysis of Apache Hadoop and Apache Spark technologies. The analysis is based on criteria such as working principles, speed, convenience, error handling, and resource requirements.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 43%
Cloud Computing and Resource Management
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BIG DATA PROCESSING TECHNOLOGIES: A COMPARATIVE ANALYSIS OF HADOOP AND SPARK · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS