Uma visão Geral de banco de dados NOSQL para big data

The increasing volume and variety of data generated in the Big Data era challenge the capabilities of traditional relational databases. NoSQL databases emerge as a promising alternative, offering scalability, flexibility, and performance to handle unstructured and semi-structured data. This literature review explores the main types of NoSQL databases, their characteristics, advantages, and disadvantages in the context of Big Data. We address the challenges of data modeling, consistency, and management, and present case studies and applications in different sectors. The goal is to provide a comprehensive overview of the role of NoSQL databases in the current Big Data landscape, elucidating their potential to address the challenges of large-scale data storage and processing.

Authors

Publication Details

Journal
Revista fisio&terapia.
Published
2024-10-17
DOI
https://doi.org/10.69849/revistaft/pa10202410171619
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Uma visão Geral de banco de dados NOSQL para big data

María del Carmen Lagares Carretero
Revista fisio&terapia.
Data Mining Algorithms and Applications
article

Uma visão Geral de banco de dados NOSQL para big data

María del Carmen Lagares Carretero
article en

Abstract

The increasing volume and variety of data generated in the Big Data era challenge the capabilities of traditional relational databases. NoSQL databases emerge as a promising alternative, offering scalability, flexibility, and performance to handle unstructured and semi-structured data. This literature review explores the main types of NoSQL databases, their characteristics, advantages, and disadvantages in the context of Big Data. We address the challenges of data modeling, consistency, and management, and present case studies and applications in different sectors. The goal is to provide a comprehensive overview of the role of NoSQL databases in the current Big Data landscape, elucidating their potential to address the challenges of large-scale data storage and processing.

Revista fisio&terapia.
Openalex Percentile: Top 72%
Data Mining Algorithms and Applications
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